Online knowledge base platform and business model for ensuring knowledge content quality and contributor rights and interests

By adopting blockchain, data encryption and artificial intelligence technologies in the online knowledge base platform, combining decentralized architecture and smart contracts, problems such as the quality and timeliness of knowledge content, copyright management, etc. are solved, and the high quality of knowledge content is achieved. Timely update and effective protection of contributor rights and interests.

CN119444092APending Publication Date: 2025-02-14SHANGHAI JINXILAI SOFTWARE TECH CO LTD
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Patent Information

Application Number
CN202411290986.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-13
Publication Date
2025-02-14

AI Technical Summary

Technical Problem

The existing online knowledge base platform is difficult to ensure the quality and timeliness of knowledge content, and at the same time, it lacks an effective copyright management and rights distribution mechanism, which affects the legitimate rights and interests of knowledge content providers.

Method used

Using blockchain, data encryption and artificial intelligence technologies to establish an online knowledge base platform, ensure the accuracy and authority of knowledge content through decentralized architecture, smart contracts and multiple rounds of review mechanisms, and establish a sound incentive mechanism to protect it. Contributors' rights.

Benefits of technology

It improves the quality and timeliness of knowledge content, ensures the rights and interests of knowledge content providers, enhances the credibility and security of the platform, and promotes the sharing and inheritance of knowledge.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an online knowledge base platform for ensuring knowledge content quality and contributor rights and interests and a business model of the online knowledge base platform, and relates to the field of online knowledge bases. The platform integrates block chains, data encryption and artificial intelligence technologies, and aims to improve the quality of knowledge content and protect the rights and interests of contributors. The platform mainly comprises a block chain system, a data encryption system, an artificial intelligence system, a member management system, an auditor evaluation system, a knowledge content collection system, a knowledge content auditing system, an incentive management system, a template management system, a fund management system, a suggestion supervision system, a point transaction system, an advertisement management system and the like. Through a decentralized knowledge management mechanism, a contributor auditing and evaluating mechanism, a knowledge content providing and auditing mechanism and a contributor right protection mechanism, high quality of knowledge base content and fair reward of contributors are ensured, and sharing and communication of knowledge are promoted.
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Description

Technical Field

[0001] The present invention relates to the technical field of knowledge bases, and in particular to an online knowledge base platform that ensures the quality of knowledge content and the rights and interests of contributors. Background Art

[0002] With the rapid development of the global digital economy and the high popularity of information networks, the concepts of digital economy and value networks have received increasing attention. In the era of digital economy, knowledge bases are its core pillars, and the effective protection of their copyrights and related rights is crucial to promoting the legal and widespread dissemination of knowledge content. As an economic form based on digital technology, the digital economy promotes economic development through digital production, circulation, transactions and management, and its core production factor is digital knowledge. Through the deep integration of modern information networks and the real economy, the digital economy has greatly improved the digitalization, networking and intelligence of the economy, and covers multiple aspects such as digital industrialization, industrial digitalization, digital governance and data value, becoming an important engine for promoting high-quality economic development.

[0003] At the same time, the value network connects multiple participants through digital technology, jointly creates and shares value, and forms a network structure that includes multiple organizations, individuals, and platforms. This network breaks the limitations of the traditional industrial chain by sharing resources, information, and technology, realizes cross-border integration and collaborative innovation, and further expands the space for economic growth. There is a close mutually reinforcing relationship between the digital economy and the value network, which provides each other with rich resources and technical support, and jointly promotes the innovation of business models and the transformation and upgrading of the economy and society.

[0004] As an important product of the digital economy era, online knowledge base is a database containing a large amount of knowledge information. Users can easily obtain and use this knowledge information, including theoretical knowledge, factual basis, and expert experience, through search and other means. Online knowledge base is not only domain-specific and professional, helping users quickly understand basic knowledge and solve practical problems, but also allows users to add their own experience and insights, realizing the sharing and inheritance of knowledge. However, the current development of online knowledge bases still faces some challenges.

[0005] First, the quality of knowledge base content is difficult to be effectively guaranteed. In existing knowledge bases, the accuracy and authority of knowledge content are often questioned, which affects the user experience and the effect of knowledge dissemination. This is mainly due to the lack of effective review and quality control mechanisms, which makes it difficult to ensure the authenticity and reliability of the knowledge stored in the database.

[0006] Secondly, the untimely updating of knowledge base content is also a prominent problem. With the continuous development and changes in the knowledge field, the information in the knowledge base needs to be updated in a timely manner to reflect the latest research results and industry trends. However, existing knowledge bases often find it difficult to keep up with the pace of knowledge updates, resulting in outdated information and failure to meet users' needs for the latest knowledge.

[0007] Finally, the rights and interests of knowledge content providers cannot be guaranteed. Current online knowledge bases often lack effective copyright management and rights distribution mechanisms, resulting in the inability to fully protect the legitimate rights and interests of knowledge content providers. This not only dampens the enthusiasm of knowledge creators, but also limits the further innovation and dissemination of knowledge.

[0008] Therefore, effective measures need to be taken to address these problems and improve the quality, timeliness and user rights of online knowledge bases. Summary of the invention

[0009] In view of the defects in the prior art, the present invention provides an online knowledge base platform that ensures the quality of knowledge content and the rights of contributors. By introducing advanced audit and management mechanisms and combining advanced technologies such as blockchain, data encryption and artificial intelligence, the accuracy and authority of knowledge content can be ensured, and the information in the knowledge base can be updated in a timely manner. At the same time, a sound incentive mechanism is established to encourage users to actively participate in knowledge contribution and audit, and promote the sustainable and healthy development of online knowledge bases.

[0010] In one aspect, the present invention provides an online knowledge base platform that ensures the quality of knowledge content and the rights and interests of contributors, the platform comprising:

[0011] The blockchain system is used to implement the decentralized architecture and distributed data storage of the platform, record the contribution data of contributors, ensure that it is not tampered with, and use smart contracts to implement platform rules and transactions;

[0012] Data encryption system, used to provide encryption technologies including transmission encryption and storage encryption;

[0013] Artificial intelligence system, which integrates advanced artificial intelligence technology to automatically perform preliminary review of personnel information, preliminary review of knowledge content, and collection of relevant knowledge content data;

[0014] Member management system, used to provide member management functions;

[0015] An auditor review system is used to conduct qualification review and contribution evaluation on auditors, including personnel auditors and knowledge content auditors;

[0016] The knowledge content collection system is used to receive users' consultation requests for knowledge content and provide an interface for knowledge content providers to submit new knowledge content;

[0017] The knowledge content review system is used to review the knowledge content.

[0018] Furthermore, the blockchain system includes:

[0019] A decentralized identity authentication subsystem to ensure the uniqueness and security of user identities;

[0020] Distributed storage subsystem, used to store platform data;

[0021] A smart contract subsystem for automating and making transparent the decision-making process using smart contracts, including but not limited to audit result determination contracts, contribution assessment contracts, and reward distribution contracts;

[0022] The contributor rights protection subsystem is used to record and protect the rights of knowledge content contributors.

[0023] Furthermore, the data encryption system includes:

[0024] Transmission encryption subsystem, used to encrypt network transmission data;

[0025] Storage encryption subsystem, used to encrypt storage data;

[0026] Biometric cryptographic subsystem for user authentication through biometric recognition technology.

[0027] Furthermore, the artificial intelligence system includes:

[0028] An intelligent knowledge content providing subsystem, used to obtain multi-source knowledge data through intelligent search technology and extract new knowledge content from the multi-source knowledge data;

[0029] Intelligent knowledge content review system, used to intelligently review new knowledge content submitted to the online knowledge base platform;

[0030] Intelligent template generation subsystem, used to automatically generate and recommend appropriate knowledge content templates, including using artificial intelligence technology to analyze existing knowledge content and formats and generate knowledge content templates that meet standards and requirements;

[0031] Furthermore, the member management system includes:

[0032] Registration and login subsystem, used to provide user registration and login services;

[0033] Real-name authentication subsystem, used for member real-name authentication;

[0034] Personal center, for members to view personal contributions, collections and manage personal information;

[0035] Reviewer application subsystem, used by members to apply to become reviewers;

[0036] The communication and interaction subsystem is used to provide communication and interaction functions between members.

[0037] Furthermore, the auditor review system includes:

[0038] The auditor qualification preliminary review system is used to conduct preliminary review of auditor qualifications, including the use of artificial intelligence technology to conduct automated preliminary review of audit qualification applications and determine the type and level of auditors;

[0039] The preliminary review result determination subsystem is used to determine the preliminary review result of the auditor's qualifications using smart contracts;

[0040] The auditor qualification review subsystem is used to build an audit mechanism including multiple auditors and conduct a detailed review of the qualifications of auditors who have passed the initial review;

[0041] The detailed review result determination subsystem is used to determine the detailed review results of the auditor's qualifications using smart contracts.

[0042] Furthermore, the knowledge content collection system includes:

[0043] The intelligent question-and-answer subsystem is used to provide members with online knowledge question-and-answer services. If the online knowledge base does not contain knowledge content related to the knowledge question-and-answer service, the knowledge content will be submitted for review;

[0044] The knowledge content submission subsystem is used for knowledge content providers to submit knowledge content into the database.

[0045] Furthermore, the knowledge content review system also includes:

[0046] The knowledge content preliminary review subsystem is used to conduct preliminary review of the knowledge content submitted for storage, including the use of artificial intelligence technology to pre-process and preliminarily review the knowledge content. When the preliminary review is qualified, the manual spot check review mechanism is used to verify the accuracy of the preliminary review and provide improvement suggestions;

[0047] The preliminary review result determination subsystem is used to automatically determine the preliminary review results of knowledge content using smart contracts;

[0048] The knowledge content review subsystem is used to build a review mechanism including multiple knowledge reviewers to conduct a detailed review of the knowledge content that has passed the initial review;

[0049] The detailed review result determination subsystem is used to automatically determine the detailed review results of knowledge content using smart contracts.

[0050] Furthermore, the platform also includes:

[0051] Incentive management system, used to establish and implement incentive mechanisms to encourage contributors to actively participate in knowledge contribution through contribution points, contribution degrees and reviewer levels;

[0052] A fund management system is used to achieve comprehensive management of platform funds, including the receipt, expenditure and settlement of funds;

[0053] Suggestion monitoring system for collecting and processing member suggestions;

[0054] Template management system, used to provide template management functions, including template creation, modification, deletion and review;

[0055] The points trading system is used to build a points trading platform to support members to redeem and trade their contribution points.

[0056] In another aspect, the present invention provides a business model, which includes the platform of the above invention content and also includes the following mechanism:

[0057] Decentralized knowledge management mechanism: Establish an online knowledge base platform with the blockchain system as the central architecture;

[0058] Contributor review and evaluation mechanism: Review and evaluate contributors, including knowledge content providers, knowledge content reviewers, and personnel reviewers;

[0059] Knowledge content provision mechanism: Platform members can apply to become knowledge content providers. After passing the platform review, knowledge content providers are allowed to submit knowledge content through the knowledge content collection system;

[0060] Knowledge content review mechanism: The knowledge content review system uses the knowledge content preliminary review subsystem, detailed review subsystem and related judgment subsystem in the knowledge content review system to achieve full-process review of knowledge content;

[0061] Contributor rights protection mechanism: The rights of contributors are recorded and protected through the contributor rights protection subsystem in the blockchain system.

[0062] The beneficial effects of the present invention are embodied in:

[0063] 1) Ensure high quality of knowledge content: By introducing artificial intelligence technology and a multi-round review mechanism, the present invention can ensure that all knowledge content stored in the database has been strictly screened and reviewed, thereby improving the accuracy and authority of the knowledge content. This not only improves the user experience, but also enhances the dissemination effect of knowledge content.

[0064] 2) Protecting the rights of contributors: By utilizing the immutability and transparency of blockchain technology, the present invention can effectively record and protect the rights of knowledge content contributors and knowledge content auditors, and prevent intellectual property infringement. By automatically allocating contribution points and rewards through smart contracts, contributors can receive fair and reasonable returns, thereby stimulating the enthusiasm of more people to participate.

[0065] 3) Realize timely update of knowledge content: By expanding the contributor team, including knowledge content providers, reviewers, and artificial intelligence contributors, the present invention can significantly improve the frequency and comprehensiveness of knowledge content updates. This enables the platform to reflect the latest research results and industry trends in a timely manner, meeting users' needs for the latest knowledge.

[0066] 4) Improve audit efficiency and fairness: The application of artificial intelligence technology in the audit process enables the initial audit task to be processed automatically, significantly reducing the burden of manual audit. At the same time, the application of multi-round audit mechanism and smart contracts ensures the fairness and transparency of the audit process and avoids interference from human factors.

[0067] 5) Enhance the credibility and security of the platform: The decentralized architecture and distributed storage characteristics of blockchain technology make the platform data more secure and reliable, and difficult to be tampered with or deleted. At the same time, the transparency of blockchain also enhances the credibility of the platform and attracts more users to participate and trust.

[0068] 6) Promote the sharing and inheritance of knowledge: The online knowledge base platform not only allows users to obtain and use knowledge information, but also encourages users to add their own experience and insights, thus achieving the sharing and inheritance of knowledge. This open platform mechanism helps to form a healthy knowledge ecology and promote the continuous progress and development of knowledge.

[0069] 7) Establish a scientific and reasonable incentive mechanism: Through incentive mechanisms such as contribution points, contribution degree and reviewer level, the present invention can attract more users to actively participate in the contribution and review of knowledge content. This scientific and reasonable incentive mechanism helps to form a continuous virtuous cycle and promote the healthy and stable development of the platform. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following is a brief introduction to the drawings required for the specific embodiments or the description of the prior art. In all the drawings, similar elements or parts are generally identified by similar reference numerals. In the drawings, the elements or parts are not necessarily drawn according to the actual scale.

[0071] Figure 1 A schematic diagram of the structure of an online knowledge base platform for ensuring the quality of knowledge content and the rights and interests of contributors provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0072] The following embodiments of the technical solution of the present invention are described in detail in conjunction with the accompanying drawings. The following embodiments are only used to more clearly illustrate the technical solution of the present invention, and are therefore only used as examples, and cannot be used to limit the protection scope of the present invention.

[0073] It should be noted that, unless otherwise specified, the technical terms or scientific terms used in this application should have the common meanings understood by those skilled in the art to which the invention belongs.

[0074] Embodiment 1

[0075] In order to better understand the technical solution of the present invention, an online dictionary platform is constructed in the embodiment of the present invention.

[0076] Traditional dictionaries are usually edited by a publishing house, where a specific editing team is formed to compile and publish within a specified period of time, and the editions are updated regularly. This method is non-decentralized, and the dictionary content cannot be updated in real time.

[0077] This online dictionary platform attracts a large number of contributors to participate in the collection and review of online dictionary entries through decentralization, ensuring the accuracy, authority, timeliness, comprehensiveness, rich examples, appropriateness, systematicness, practicality, readability, timeliness, uniqueness and diversity of the online dictionary content. Specifically:

[0078] 1) Accuracy: The content of entries in the dictionary should be correct, including the spelling, pronunciation, meaning, examples, etc. Accuracy is the foundation of the dictionary, which is directly related to whether users can obtain correct and reliable information. To achieve accuracy, the platform needs to establish a strict review mechanism to ensure that all entry content is carefully proofread and verified by professionals;

[0079] 2) Authority: The content providers and reviewers of entries should have professional backgrounds and qualifications. This platform has a strict approval process for content review experts to ensure the authority of the online dictionary platform;

[0080] 3) Timeliness: The content of the dictionary should keep pace with the development of language, and timely include new words, changes in word meanings, usage updates, and other information. With the continuous progress of society and the rapid development of science and technology, new words and new expressions emerge in an endless stream. As a tool for language learning, the dictionary must maintain the timeliness and cutting-edge nature of its content to meet users' needs for the latest language information. Timeliness requires the dictionary compilation team to continue to pay attention to language trends, regularly review and update the content of entries, and ensure the freshness and practicality of the dictionary content;

[0081] 4) Comprehensiveness: The dictionary should cover the main vocabulary and expressions of the target language as much as possible, as well as the main usage and context of these words; comprehensive content can meet the diverse needs of readers and provide rich vocabulary resources;

[0082] 5) Appropriateness: The definitions and examples in the dictionary should be close to the actual language usage scenarios, avoiding explanations that are too obscure or deviate from everyday language. Appropriateness requires that the dictionary should take into account the needs and language levels of different user groups, as well as the applicability and appropriateness of vocabulary in different contexts when providing vocabulary information. Through appropriate definitions and examples, it helps users better understand and use vocabulary; 6) Systematic Nature: The compilation of dictionaries should follow a certain logic and structure to facilitate users to find and understand vocabulary; systematic design can improve the ease of use and readability of the dictionary and enhance the user experience (User Experience, UE);

[0083] 7) Practicality: The dictionary should provide sufficient examples, usage instructions, etymological information, etc. to meet the actual needs of users to look up words and understand their meanings. Practicality is an important reflection of the quality of the dictionary and can help users better master and use vocabulary.

[0084] 8) Readability: Readability usually refers to the clarity and ease of understanding of text or content. It is an important concept in user experience because it directly affects the user experience of the product or service.

[0085] 9) Historical Nature: A dictionary should record the evolution of vocabulary, including obsolete meanings; this helps readers understand the historical background and cultural connotations of vocabulary, while also meeting the needs of academic research;

[0086] 10) Uniqueness: When dealing with homonyms or synonyms, dictionaries should provide accurate and consistent translations; uniqueness helps avoid confusion and misunderstanding, ensures accuracy and consistency of information, and avoids waste of resources;

[0087] 11) Diversity: Different contributors may interpret a word from different perspectives, providing richer explanations and usages, which can help users understand the meaning of the word more comprehensively. Diversity can also reflect the differences in the understanding of words in different cultures, regions or fields, which is also beneficial to improving users' language skills and cross-cultural communication skills. In the past, the diversity of dictionaries was achieved by different publishers compiling dictionaries with different characteristics. Online dictionaries can achieve the diversity of dictionaries in the same dictionary, which benefits users from the economic and user experience perspectives.

[0088] A dictionary is a collection of entries, each of which corresponds to a word or phrase. Vocabulary is the collection of all words in a language, so the entries included in a dictionary are subsets of the vocabulary. Dictionaries should include as many entries as possible to enrich the coverage of the vocabulary.

[0089] The dictionary entries include but are not limited to the following:

[0090] 1) Word or Phrase:

[0091] That is, the title of the entry, which is the word itself included in the dictionary, such as "computer", "happy", etc.; it represents the basic form or standard writing method of the word;

[0092] 2) Phonetic notation and pronunciation:

[0093] Use Chinese Pinyin or other phonetic symbols to mark the pronunciation of words to help users pronounce them correctly;

[0094] 3) Part of Speech:

[0095] Mark the grammatical category to which the word belongs, such as noun, verb, adjective, etc. This helps readers understand the function and role of the word in the sentence;

[0096] 4) Definition:

[0097] Explain and illustrate the meaning of the word, including basic meaning, extended meaning, metaphorical meaning, etc. The explanation should be accurate, concise and comprehensive;

[0098] 5) Examples / Sentence:

[0099] Provide examples or phrases containing the word to show how the word is used in real contexts; examples help readers understand the usage and collocation of the word;

[0100] 6) Domain:

[0101] The domain of a word refers to the usage and meaning of the word in a specific profession, discipline or field. Different words may have specific usage and meaning in different fields. When compiling a dictionary or entry, the domain information of a word can help readers better understand and use the word.

[0102] 7) Usage Notes:

[0103] Explain the usage of words or phrases, including common collocations, usage precautions, etc.

[0104] 8) Example Sentences:

[0105] Provide examples or phrases that contain the meaning of the word, showing how the word is used in actual contexts; help readers understand its usage and collocation in actual contexts;

[0106] 9) Etymology or Inflections:

[0107] Explain the origin and evolution of the word, including the rationale for its creation and its historical evolution; this helps readers understand the cultural background and language development of the word;

[0108] 10) Synonyms and Antonyms:

[0109] List words with similar or opposite meanings to the word to help readers expand their vocabulary and understand the relationship between words;

[0110] 11) Related Words or Related Terms or Cross-References:

[0111] Provide links or references to other related terms to facilitate readers to further check and understand relevant information;

[0112] 12) Collocations:

[0113] Provide collocations where words often appear together; these collocations may be grammatically correct, but replacing the words may change the meaning or sound unnatural; for example, "strong" and "coffee" in "strong coffee" is a common collocation;

[0114] 13)Grammar Note:

[0115] Provide explanations of grammatical rules and precautions when using words in sentences; these explanations may involve the word's part of speech, syntactic function, tense, voice, etc., to help users understand and use the words correctly;

[0116] 14) Legend / Multimedia:

[0117] Provide images, diagrams, audio and video to illustrate parts of a word or concept; these multimedia can help users understand the meaning or usage of a word more intuitively;

[0118] 15) Usage Frequency:

[0119] Information about how often the word is typically used, usually presented as high frequency, medium frequency, or low frequency;

[0120] 16) Regional Variations:

[0121] any variation in spelling, pronunciation or usage based on regional dialect or variant;

[0122] 17) Idioms or Phrases:

[0123] If the word is part of a common idiom (idiom or proverb) or phrase, the entry may contain information about its use in that context;

[0124] 18) Others:

[0125] Content other than the above, such as importance display, etc.

[0126] The minimum submission content of the online dictionary platform provided by the embodiment of the present invention is one of the above-mentioned entry contents, such as a new example sentence or new content of an existing entry; of course, it can also be a new entry content;

[0127] The online dictionary platform provided by the embodiment of the present invention not only supports the addition of new entries, but also points out that existing entries have content errors or are outdated as contributions. Approved and qualified comments will be updated to the entries. Incorrect or outdated entries will usually be blocked, but can still be queried when necessary.

[0128] The online dictionary platform provided by the embodiment of the present invention includes but is not limited to the following systems:

[0129] The blockchain system is used to achieve the decentralization of the online dictionary platform and enhance the credibility of the platform, including but not limited to the following subsystems:

[0130] Decentralized identity authentication subsystem: When users register on the platform, they will undergo real-name authentication through the decentralized identity authentication subsystem to ensure the authenticity of the user's identity and manage their access rights.

[0131] Distributed storage subsystem: All dictionary entries, user data, expert applications, review data, and reward points information in the platform are stored on the blockchain. This distributed storage method enhances data security and traceability.

[0132] Smart contract subsystem: includes multiple smart contracts, which automatically handle dictionary entry review and judgment, expert qualification judgment, and incentive points allocation.

[0133] It should be noted that smart contracts include but are not limited to audit result determination contracts, contribution assessment contracts and reward distribution contracts.

[0134] Contributor rights protection subsystem: The platform records and protects the original rights of dictionary entry providers to prevent plagiarism or unauthorized use. At the same time, the timestamp function is used to verify the contribution time of contributors to ensure that their rights are effectively protected. The platform also records the reviewer's review content, rewards reviewers who have made contributions, and protects the rights of reviewers.

[0135] It should be noted that the rights of contributors are mainly the rights of knowledge content providers and knowledge content reviewers.

[0136] The rights and interests of knowledge content providers generally cover the following aspects:

[0137] Original content: Contributors own the copyright to their original content, which means they have the right to decide how it is published, modified, distributed, and used.

[0138] Right of attribution: Contributors can request that their content be displayed with their name or other identifying information on the platform to indicate the source of the content.

[0139] Right to income: Contributors have the right to obtain corresponding remuneration or rewards based on the quality and popularity of the content they contribute, which can be contributor points.

[0140] Right to Modification and Deletion: Contributors may modify or delete the content they post, especially if the content is wrong or needs to be updated.

[0141] Data access rights: Contributors have the right to access data information related to their content, such as content views, user feedback, etc., so as to understand the impact of their contributions.

[0142] Right to participate in decision-making: On a decentralized platform, contributors may have the right to participate in the decision-making and governance of the platform, such as voting to decide the platform's rules, feature development, etc.

[0143] Right to privacy protection: Contributors have the right to require the platform to protect their personal privacy information to avoid unauthorized disclosure or abuse.

[0144] Feedback and right to appeal: Contributors have the right to provide feedback or appeal about the platform's handling of their content, especially when it comes to content review, copyright disputes, or profit distribution.

[0145] These benefits can help ensure that contributors' interests are protected while encouraging them to continue contributing high-quality content to the knowledge base.

[0146] The rights and interests of knowledge content reviewers generally cover the following aspects:

[0147] Right to review content: Reviewers have the right to review the knowledge content submitted by contributors, including checking the accuracy, completeness, originality and applicability of the content, so as to ensure the quality and credibility of the platform content.

[0148] Right to remuneration and rewards: Auditors have the right to receive corresponding remuneration or rewards based on the quantity and quality of their audit work, which can be contributor points.

[0149] Right to privacy protection: When performing their duties, reviewers have the right to require the platform to protect their personal information and privacy and avoid unnecessary interference or risks during the review process.

[0150] Right to participate in decision-making: On a decentralized platform, auditors may have the right to participate in the formulation and adjustment of platform rules, and even make suggestions or participate in voting on the development direction of the platform.

[0151] Access to audit records: Auditors have the right to access historical records related to their audit tasks for reference and summary of experience to optimize future audit work.

[0152] These rights can help reviewers effectively perform their duties on the knowledge base platform and ensure the quality of the platform's content, while also protecting their rights and interests and encouraging their continued participation in review work.

[0153] By implementing the above blockchain system, the online dictionary platform is able to provide secure, transparent and efficient services.

[0154] The data encryption system is used to improve the data security of the online dictionary platform and protect user privacy, including but not limited to the following subsystems:

[0155] Transmission encryption subsystem: The platform encrypts all data transmissions to protect the transmitted data from being illegally obtained or tampered with.

[0156] Storage encryption subsystem: The platform encrypts all stored entry information, user personal data, and operation records to ensure data security and prevent unauthorized access.

[0157] The artificial intelligence system is used to save manpower and improve the efficiency of content management and review on the platform, and further includes but is not limited to the following subsystems:

[0158] Intelligent qualification review subsystem: When an expert applies to become a dictionary editor or reviewer, the system automatically analyzes the applicant's professional background, education and work experience to ensure that he or she meets the qualification requirements and assists the administrator in the final approval;

[0159] Intelligent knowledge content provision subsystem: Through intelligent search technology, the platform can automatically extract relevant vocabulary and definitions from external knowledge sources and submit them for review through the entry content submission subsystem;

[0160] Intelligent knowledge content review subsystem: When users submit new entries or modify existing entries, the system automatically detects and evaluates the accuracy and consistency of the entries, marks potential errors or non-compliant parts, and recommends modification plans;

[0161] Intelligent template generation subsystem: Based on the format and content of existing dictionary entries, the system automatically generates standardized entry templates to help users create new entries in a consistent format, ensuring that all entries meet the format requirements of the platform.

[0162] By implementing these AI subsystems, online dictionary platforms can improve content management efficiency, ensure the quality and consistency of dictionary entries, and provide a more intelligent user experience.

[0163] The member management system is used to provide member management functions, including but not limited to the following subsystems:

[0164] Registration and Login Subsystem: Users can register to become members of the dictionary platform and access their personal accounts by logging in. Members can manage their personal vocabulary collections, edit history, and other functions, while non-member users can only access limited functions.

[0165] Real-name authentication subsystem: Members who apply to become dictionary editors or reviewers must pass real-name authentication to ensure the authenticity of their identities and their trust in the platform.

[0166] Personal Center Subsystem: Members can view their own submitted entries, manage their personal information, view entry collections and other information interacting with members in the Personal Center;

[0167] Reviewer Application Subsystem: Members can apply to become dictionary content reviewers. The system handles the application process, including qualification review, approval, etc., to ensure that applicants meet the review standards;

[0168] Communication and interaction subsystem: Members can interact within the dictionary platform by commenting, liking, sending private messages and group chatting, promoting knowledge sharing and community interaction, and enhancing user participation and community activity.

[0169] By implementing these subsystems, online dictionary platforms can provide more comprehensive member management services, optimize user experience, and promote the healthy development of the community.

[0170] The reviewer review system is responsible for reviewing the qualifications of two types of reviewers: personnel qualification reviewers and entry content reviewers, and includes the following subsystems:

[0171] Reviewer qualification preliminary review subsystem: When a user applies to become a reviewer, the system uses artificial intelligence technology to conduct a preliminary review of the application materials. The system analyzes the applicant's background information, screens eligible applicants, and sets a preliminary review level. Multiple reviewers participate in the preliminary review process to ensure the fairness of the results.

[0172] Preliminary review result determination subsystem: Smart contracts are used to determine the preliminary review results. Scores from multiple reviewers are aggregated and processed, and the majority rule is used to decide whether to approve the application. The rules of the smart contract are set by the platform to ensure fairness and consistency in the decision-making process.

[0173] Reviewer qualification review subsystem: conduct detailed review of applicants who have passed the initial review. Manual reviewers conduct in-depth assessment of applicants' qualifications, and the review process involves multiple reviewers to improve the accuracy and fairness of the review.

[0174] Detailed review result determination subsystem: Smart contracts determine the detailed review results. Scores from multiple reviewers are aggregated and processed, and the final review result is determined based on majority rules to ensure transparency and fairness in the review process.

[0175] Contribution evaluation subsystem: The system evaluates the reviewer’s contribution through smart contracts.

[0176] The specific operation process is as follows:

[0177] Initial review of applicant qualifications: Use artificial intelligence to conduct a preliminary review of applicant information.

[0178] Determination of preliminary review results: Determination of preliminary review results through smart contracts.

[0179] Detailed review push: The information of the reviewers who have passed the preliminary review will be pushed to the appropriate reviewers by the intelligent push subsystem for detailed review;

[0180] Pending review query: Reviewers can search for pending reviewer information through the pending review search module for review;

[0181] The qualifications of the auditors shall be reviewed in detail; the detailed review shall be conducted by natural person auditors.

[0182] Determination of detailed review results: The smart contract determines the detailed review results and decides whether they are qualified.

[0183] Contribution evaluation: Reviewers will obtain corresponding contribution points and evaluations through smart contracts.

[0184] All process data is recorded by blockchain technology after necessary encryption to ensure the transparency and immutability of the data.

[0185] The implementation of these subsystems can effectively manage the expert review process on the dictionary platform, improve the content quality of the platform, and ensure the transparency and fairness of the review process.

[0186] Entry content collection system, including:

[0187] The intelligent question-and-answer subsystem is used to provide members with online knowledge question-and-answer services. If there is no entry content related to the knowledge question-and-answer service in the online dictionary library, the entry content will be submitted for review;

[0188] The entry content submission subsystem is used for entry content providers to submit entry content into the database.

[0189] The entry content review system is used to review the entry content and determine whether the entry content meets the storage conditions; it includes the entry content preliminary review subsystem, the preliminary review result determination subsystem, the entry content detailed review subsystem and the detailed review result determination subsystem;

[0190] Entries Content Preliminary Review Subsystem: Implementation Method: When a user submits a new entry or content on the online dictionary platform, the entry content preliminary review subsystem is automatically activated. This subsystem uses artificial intelligence technology to conduct a preliminary analysis of the entry content, automatically detect grammar, format and relevance, and mark potential problems and parts that need further review.

[0191] Preliminary review result determination subsystem: Implementation method: The preliminary review result is processed by the preliminary review result determination subsystem. The system aggregates the scores of multiple reviewers and decides whether to pass the preliminary review based on the majority rule through smart contracts. The specific rules of the smart contract are set by the platform to ensure the transparency and consistency of the rules.

[0192] Entries Content Review Subsystem: Implementation Method: Content that passes the initial review is transferred to the Entries Content Review Subsystem. Manual reviewers conduct a detailed inspection of the content, including text, images, audio and video, to verify the accuracy and completeness of the information. Multiple reviewers participate in this process to improve accuracy and fairness.

[0193] Detailed review result determination subsystem: Implementation method: The detailed review result is finally determined by the detailed review result determination subsystem through smart contracts. The smart contract applies the majority rule based on the total score of the detailed review stage to determine the final review result, ensuring the fairness and transparency of the final decision.

[0194] The specific operation process is as follows:

[0195] Initial review of entry content: mainly using artificial intelligence reviewers to conduct initial review of entry content;

[0196] Determination of preliminary review results: Use smart contracts to determine whether the preliminary review results are qualified;

[0197] Detailed review and intelligent push: The entries that have passed the initial review will be pushed to the appropriate reviewer by the intelligent push subsystem for detailed review;

[0198] Pending review search: Reviewers can also search for pending review content through the pending review content search module and conduct review;

[0199] Detailed review of entry content: mainly conducted by natural person reviewers;

[0200] Determination of detailed review results: Use smart contracts to determine whether the detailed review is qualified;

[0201] Smart contract storage: The qualified entries will be automatically added to the online dictionary by the smart contract for users to consult and use;

[0202] Contribution evaluation: Contributors who participate in the submission and review of entry content will be allocated contribution points by the smart contract and receive a reasonable level evaluation;

[0203] All process data is recorded by blockchain technology after necessary encryption;

[0204] Incentive management system, used to establish and implement incentive mechanisms to encourage contributors to actively participate in knowledge contribution through contribution points, contribution degrees and reviewer levels;

[0205] The template management system is used to manage entry templates, which is convenient for entry content providers to submit entry content and for entry content reviewers to review entry content. The template management system includes an entry template submission subsystem and an entry template review subsystem. The operation process is as follows:

[0206] Template submission: The entry template provider submits the template related to the entry content through the entry template submission subsystem;

[0207] Template review: The template reviewer reviews the above template through the entry module review subsystem, and the smart contract makes a qualified review decision;

[0208] Template storage: If the template is qualified, the platform's smart contract will automatically add the entry template to the entry template library;

[0209] Contribution incentives: If the template is judged to be qualified, the platform's smart contract will automatically allocate contribution points to the template contributor and update the contributor's contribution and level.

[0210] Based on the above embodiment, an embodiment of the present invention further provides a business model, which includes the platform of the above embodiment and also includes the following mechanism:

[0211] Decentralized knowledge management mechanism: Establish an online knowledge base platform with the blockchain system as the central architecture;

[0212] Contributor review and evaluation mechanism: Review and evaluate contributors, including entry content providers, entry content reviewers, and personnel reviewers;

[0213] Entry content provision mechanism: Platform members can apply to become entry content providers. After passing the platform review, entry content providers are allowed to submit entry content through the entry content collection system;

[0214] Entry content review mechanism: The full-process review of knowledge content is realized through the entry content preliminary review subsystem, detailed review subsystem and related judgment subsystem in the entry content review system;

[0215] Contributor rights protection mechanism: The rights of contributors are recorded and protected through the contributor rights protection subsystem in the blockchain system.

[0216] It should be understood that a business model provided by an embodiment of the present invention is implemented based on the online dictionary platform provided by the above embodiment. The more specific implementation process of each mechanism in the embodiment of the present invention can refer to the above embodiment and will not be described in detail here.

[0217] Embodiment 2

[0218] Based on the same inventive concept, an embodiment of the present invention provides an online question repository platform;

[0219] The question bank of this online question bank platform is a collection of questions, including but not limited to homework questions, practice questions and examination questions;

[0220] There are two major problems with existing online question bank platforms: one is that the question content is wrong, and the other is that the original questions are plagiarized and uploaded. This invention solves these problems and supports more sound business operations by ensuring the quality of the question bank and protecting the rights of contributors;

[0221] The online question bank system of this embodiment includes:

[0222] The blockchain system is the same as that in the first embodiment;

[0223] The data encryption system is the same as that in the first embodiment;

[0224] The artificial intelligence system is the same as that in the first embodiment;

[0225] The member management system is the same as that in the first embodiment;

[0226] The reviewer review system is used to review members who apply to become topic reviewers. Its system architecture, operation process and implementation effect are the same as those in the first embodiment;

[0227] The topic content collection system includes a topic content submission subsystem, which is used for topic content providers to submit topic content into the database.

[0228] The question content review system is similar to the first embodiment and is used to review the question content, including a question content preliminary review subsystem, a preliminary review result determination subsystem, a question content detailed review subsystem and a detailed review result determination subsystem; the specific operation is the same as the first embodiment;

[0229] The incentive management system is the same as that in the first embodiment;

[0230] The fund management system is the same as that in the first embodiment;

[0231] The proposed monitoring system is the same as that in the first embodiment;

[0232] The template management system is used to manage topic templates. Compared with entry templates, topic templates are more diverse, more complex and more varied. The template management system includes a topic template submission subsystem and a topic template review subsystem; the operation process is as follows:

[0233] Template submission: The topic template provider submits the topic template through the topic template submission subsystem;

[0234] Template review: The template reviewer reviews the above template through the topic module review subsystem, and the smart contract makes a qualified review judgment;

[0235] Template storage: If the template is qualified, the platform's smart contract will automatically add the question template to the question template library;

[0236] Contribution incentives: If the template is judged to be qualified, the platform's smart contract will automatically allocate contribution points to the template contributor and update the contributor's contribution and level;

[0237] The points trading platform is the same as that in the first embodiment.

[0238] It should be noted that the above system is a partial system display of the online question bank platform. For more detailed system functions, please refer to the above embodiment 1, which will not be described in detail in this embodiment.

[0239] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein by equivalents. These modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention, and they should all be included in the scope of the claims and specification of the present invention.

Claims

1. An online knowledge base platform that ensures the quality of knowledge content and the rights of contributors, characterized by: include: The blockchain system is used to implement the decentralized architecture and distributed data storage of the platform, record the contribution data of contributors, ensure that it is not tampered with, and use smart contracts to implement platform rules and transactions; Data encryption system, used to provide encryption technologies including transmission encryption and storage encryption; Artificial intelligence system, which integrates advanced artificial intelligence technology to automatically perform preliminary review of personnel information, preliminary review of knowledge content, and collection of relevant knowledge content; Member management system, used to provide member management functions; An auditor review system is used to conduct qualification review and contribution evaluation on auditors, including personnel auditors and knowledge content auditors; The knowledge content collection system is used to receive users' consultation requests for knowledge content and provide an interface for knowledge content providers to submit new knowledge content; The knowledge content review system is used for knowledge content reviewers to review the knowledge content.

2. The online knowledge base platform according to claim 1, characterized in that: The blockchain system includes: A decentralized identity authentication subsystem to ensure the uniqueness and security of user identities; Distributed storage subsystem, used to store platform data; Smart contract subsystem, which is used to automate and make transparent the decision-making process using smart contracts, including audit result determination contracts, contribution assessment contracts, and reward distribution contracts; The contributor rights protection subsystem is used to record and protect the rights of knowledge content contributors.

3. The online knowledge base platform according to claim 1, characterized in that: The data encryption system comprises: Transmission encryption subsystem, used to encrypt network transmission data; Storage encryption subsystem, used to encrypt storage data; Biometric cryptographic subsystem for user authentication through biometric recognition technology.

4. The online knowledge base platform according to claim 1, characterized in that: The artificial intelligence system comprises: An intelligent knowledge content providing subsystem, used to obtain multi-source knowledge data through intelligent search technology and extract new knowledge content from the multi-source knowledge data; Intelligent knowledge content review system, used to intelligently review new knowledge content submitted to the online knowledge base platform; The intelligent template generation subsystem is used to automatically generate and recommend appropriate knowledge content templates, including using artificial intelligence technology to analyze existing knowledge content and formats to generate knowledge content templates that meet standards and requirements.

5. The online knowledge base platform according to claim 1, characterized in that: The member management system includes: Registration and login subsystem, used to provide user registration and login services; Real-name authentication subsystem, used for member real-name authentication; Personal center, for members to view personal contributions, collections and manage personal information; Reviewer application subsystem, used by members to apply to become reviewers; The communication and interaction subsystem is used to provide communication and interaction functions between members.

6. The online knowledge base platform according to claim 1, characterized in that: The auditor review system includes: The auditor qualification preliminary review system is used to conduct preliminary review of auditor qualifications, including the use of artificial intelligence technology to conduct automated preliminary review of audit qualification applications and determine the type and level of auditors; The preliminary review result determination subsystem is used to determine the preliminary review result of the auditor's qualifications using smart contracts; The auditor qualification review subsystem is used to build an audit mechanism including multiple auditors and conduct a detailed review of the qualifications of auditors who have passed the initial review; The detailed review result determination subsystem is used to determine the detailed review results of the auditor's qualifications using smart contracts.

7. The online knowledge base platform according to claim 1, characterized in that: The knowledge content collection system comprises: The intelligent question-and-answer subsystem is used to provide members with online knowledge question-and-answer services. If the online knowledge base does not contain knowledge content related to the knowledge question-and-answer service, the knowledge content will be submitted for review; The knowledge content submission subsystem is used for knowledge content providers to submit knowledge content into the database.

8. The online knowledge base platform according to claim 1, characterized in that: The knowledge content review system also includes: The knowledge content preliminary review subsystem is used to conduct preliminary review of the knowledge content submitted for storage, including the use of artificial intelligence technology to pre-process and preliminarily review the knowledge content. When the preliminary review is qualified, the manual spot check review mechanism is used to verify the accuracy of the preliminary review and provide improvement suggestions; The preliminary review result determination subsystem is used to automatically determine the preliminary review results of knowledge content using smart contracts; The knowledge content review subsystem is used to build a review mechanism including multiple knowledge reviewers to conduct a detailed review of the knowledge content that has passed the initial review; The detailed review result determination subsystem is used to automatically determine the detailed review results of knowledge content using smart contracts.

9. The online knowledge base platform according to claim 1, characterized in that: The platform also includes: Incentive management system, used to establish and implement incentive mechanisms to encourage contributors to actively participate in knowledge contribution through contribution points, contribution degrees and reviewer levels; A fund management system is used to achieve comprehensive management of platform funds, including the receipt, expenditure and settlement of funds; Suggestion monitoring system for collecting and processing member suggestions; Template management system, used to provide template management functions, including template creation, modification, deletion and review; The points trading system is used to build a points trading platform to support members to redeem and trade their contribution points.

10. A business model, comprising the online knowledge base platform according to any one of claims 1 to 9, characterized in that: The following mechanisms are also included: Decentralized knowledge management mechanism: Establish an online knowledge base platform with the blockchain system as the central architecture; Contributor review and evaluation mechanism: Review and evaluate contributors, including knowledge content providers, knowledge content reviewers, and personnel reviewers; Knowledge content provision mechanism: Platform members can apply to become knowledge content providers. After passing the platform review, knowledge content providers are allowed to submit knowledge content through the knowledge content collection system; Knowledge content review and evaluation mechanism: The knowledge content review system uses the knowledge content preliminary review subsystem, knowledge content detailed review subsystem and related judgment subsystems in the knowledge content review system to achieve full-process review of knowledge content; Contributor rights protection mechanism: The rights of contributors are recorded and protected through the contributor rights protection subsystem in the blockchain system.

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