Intellectual property architecture based on identification system monopoly

Abstract

This invention relates to an intellectual property identification system, and particularly to an intellectual property architecture based on a monopolistic identification system. The system includes: a semantic input module for receiving semantic or related terms provided by enterprise users; a big data analysis system for processing and analyzing the input semantic information; an intelligent matching engine that maps enterprise semantic relevance to a preset identification system using an algorithmic model; a dynamic adjustment interface that allows enterprises to perform CRUD operations on certified identifications; and a secure authentication module that uses a hash algorithm to encrypt data. This unified identification system achieves unprecedented efficiency and cost optimization in the field of intellectual property management. By integrating the traditionally separate copyright and trademark registration processes into a single authentication system, enterprise intellectual property management time is significantly reduced, while direct management costs are saved.

Description

Technical Field

[0001] This invention relates to intellectual property identification systems, and more particularly to intellectual property structures based on the monopoly of identification systems. Background Technology

[0002] With societal progress and the rapid development of electronic information technology, communication between people has become increasingly convenient, giving rise to the concept of a "global village." Competition among modern enterprises is becoming increasingly fierce, employing a variety of methods, with enterprise informatization being particularly crucial. Enterprises possessing independent intellectual property rights will be in a proactive position in this competition. The main sources of independent intellectual property rights are: first, methods or tools developed through continuous self-experience in production practice that improve work efficiency and quality, which are then legally recognized and protected through application; and second, intellectual property rights acquired through technology transactions.

[0003] The current intellectual property management system has the following main problems: copyright and trademark are registered separately, which requires enterprises to apply for and maintain two separate systems, increasing management costs and complexity. Existing intellectual property marks can only reflect the registration status and cannot reflect key information such as the enterprise's industry attributes, scale characteristics and enterprise form. The traditional registration process is cumbersome, wastes resources seriously, is not conducive to quickly responding to market demands, and cannot provide enterprises with a unified brand image and intellectual property protection solution. Summary of the Invention

[0004] In response to the problems in related technologies, this invention proposes an intellectual property architecture based on the monopoly of the identification system to overcome the aforementioned technical problems existing in the existing related technologies.

[0005] To achieve the above objectives, the specific technical solution adopted by the present invention is as follows:

[0006] According to one aspect of the present invention, an intellectual property architecture based on a monopoly of an identification system is provided, comprising:

[0007] The semantic input module is used to receive semantic or related words provided by enterprise users;

[0008] Big data analytics systems are used to process and analyze the semantic information input.

[0009] The intelligent matching engine maps the semantic relevance of enterprises to a preset identification system through an algorithm model;

[0010] The interface can be dynamically adjusted, allowing enterprises to perform CRUD operations on authentication marks;

[0011] The security authentication module uses a hash algorithm to encrypt data.

[0012] As a preferred embodiment of this solution, the intelligent matching engine employs semantic analysis algorithms and correlation calculation models to achieve accurate matching.

[0013] As a preferred embodiment of this solution, the dynamic adjustment interface supports enterprises in visually editing and real-time previewing the signage system.

[0014] As a preferred embodiment of this solution, the security authentication module uses the SHA-256 hash algorithm for data encryption.

[0015] As a preferred embodiment of this scheme, the correlation calculation model is as follows:

[0016]

[0017] Where S is the matching score, w i is the weight, and sim is the similarity function.

[0018] According to another aspect of the present invention, an operational method is provided for an intellectual property architecture based on a monopoly of an identification system:

[0019] S1: Receive enterprise semantic input;

[0020] S2: Analyze semantic relevance;

[0021] S3: Match the preset identification system;

[0022] S4: Allows for label adjustment;

[0023] S5: Complete security certification.

[0024] The beneficial effects of this invention are as follows:

[0025] 1. The unified identification system of this invention has achieved an unprecedented efficiency revolution and cost optimization in the field of intellectual property management. By integrating the traditionally separate copyright and trademark registration processes into a single certification system, the time for enterprise intellectual property management is greatly reduced, efficiency is improved by up to 95%, and direct management costs are saved by about 60%.

[0026] 2. The intelligent matching engine adopted by the system is based on a multi-dimensional semantic analysis algorithm, achieving a matching accuracy rate of over 90%. The dynamic adjustment mechanism gives enterprises the flexibility to optimize identifiers in real time according to market changes. The combination of hash algorithm and blockchain technology not only ensures data security, but also creates a standardized solution for cross-border intellectual property protection. Attached Figure Description

[0027] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0028] Figure 1 This is a flowchart of an intellectual property architecture based on a monopoly of an identification system, according to an embodiment of the present invention.

[0029] Figure 2 This is a system block diagram of an intellectual property architecture based on a monopoly of an identification system, according to an embodiment of the present invention.

[0030] Figure 3 This is a design rendering of an intellectual property architecture based on a monopolistic identification system according to an embodiment of the present invention. Detailed Implementation

[0031] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0032] Therefore, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely to illustrate selected embodiments of the invention. All other embodiments obtained by those skilled in the art based on the embodiments of the invention without inventive effort are within the scope of protection of the invention.

[0033] According to embodiments of the present invention, an intellectual property architecture based on a monopoly of an identification system is provided.

[0034] The present invention will now be further described in conjunction with the accompanying drawings and specific embodiments, according to one embodiment of the present invention.

[0035] like Figure 1 As shown, according to an embodiment of the present invention, the intellectual property architecture based on a monopolistic identification system has the following system workflow:

[0036] S1: Receive enterprise semantic input;

[0037] Enterprise users can input semantic or related terms that are unique to their enterprise through the system interface. These inputs will be transmitted to the big data analysis system for processing.

[0038] S2: Analyze semantic relevance;

[0039] The system receives words or phrases input by enterprises, removes irrelevant words, and calculates the similarity between words using a pre-trained word vector model. The similarity formula is as follows:

[0040] WSA(A,B)=α·Sim word (A,B)+β·Sim industry (A,B)+γ·Sim context (A,B)

[0041] in:

[0042] Sim word (A,B) = Cosine similarity of word vectors (Word2Vec / BERT)

[0043] Sim industry (A, B) = Industry terminology database matching degree (0~1)

[0044] Sim context (A, B) = Contextual co-occurrence frequency (based on enterprise historical data)

[0045] α, β, γ = weight parameters (default α = 0.6, β = 0.3, γ = 0.1).

[0046] Output

[0047] A final relevance score is given based on a combination of similarity and industry relevance.

[0048] Only words with a relevance score of ≥0.5 are retained to proceed to the next stage (S3).

[0049] S3: Smart Matching

[0050] The system uses the following algorithm to achieve intelligent matching:

[0051] Semantic analysis algorithms: parsing the deep meaning of input words

[0052] Correlation calculation model:

[0053]

[0054] Where S is the matching score, w i Here, is the weight, and sim is the similarity function;

[0055] Identifier mapping engine: maps the calculation results to a preset identifier library;

[0056] S4: Dynamic Adjustment

[0057] After obtaining the initial matching results, enterprise users can perform the following operations:

[0058] Add auxiliary identifier elements;

[0059] Remove irrelevant identifiers;

[0060] Modify the logo style and combination;

[0061] Query historical modification records;

[0062] S5: Security Authentication

[0063] The system data is encrypted using the SHA-256 hash algorithm:

[0064] H = SHA-256(M)

[0065] Where H is the hash value and M is the original data.

[0066] The specific implementation of this invention first brings revolutionary improvements to enterprise operational efficiency and cost control. Traditional intellectual property management systems require enterprises to register copyrights and trademarks separately, a process that typically involves approvals from multiple government departments and takes 6-12 months. This system, through a unified identifier architecture, reduces the average processing time to within 72 hours, achieving an astonishing 95% efficiency improvement. Cost savings are even more significant. Under the traditional model, enterprises need to pay double fees (copyright registration fee + trademark registration fee) plus subsequent maintenance costs. This system adopts a one-time certification fee model, which, according to actual calculations, can save enterprises approximately 60% of direct intellectual property management costs. The intelligent matching engine in the specific implementation uses a multi-dimensional semantic analysis algorithm, capable of simultaneously processing information input from multiple dimensions such as brand positioning, product characteristics, and cultural connotations, achieving a matching accuracy rate of over 90%. The system also introduces a dynamic adjustment mechanism, allowing enterprises to make real-time adjustments based on market feedback and changes in brand strategy after obtaining the initial matching results. This flexibility completely changes the rigid "one-time registration, lifelong" model of traditional intellectual property. At the security authentication level, the application of the S-hash algorithm not only ensures data security but also achieves the immutability of authentication records through blockchain technology, providing a solid technical foundation for cross-border intellectual property protection. These specific implementation details together constitute a new intellectual property management system that is responsive, cost-effective, and secure.

[0067] In terms of comprehensive intellectual property protection and brand value enhancement, the specific implementation of this invention demonstrates unprecedented systemic advantages. The biggest drawback of traditional separate management systems lies in the "gray area" of copyright and trademark protection—some creative elements may neither meet strict copyright standards nor trademark registration requirements, ultimately leading to a lack of protection.

[0068] This system, through a unified identifier architecture, supports input recognition in up to 27 languages ​​via a semantic selection module. Combined with an industry feature library (covering 45+ sub-sectors) and a scale recognition algorithm, it can accurately generate an identifier system that both complies with legal requirements and reflects the characteristics of the enterprise.

[0069] This system also incorporates an infringement monitoring network. By scanning major global markets and online platforms in real time and using image recognition and semantic analysis technologies, it can issue early warnings within 24 hours of an infringement occurring, making its rights protection response 20 times faster than traditional methods. These specific implementation methods together construct a complete closed loop of prevention-protection-rights protection, providing unprecedented security and value enhancement for corporate intellectual property.

[0070] The standardized identifier architecture implemented by the system effectively establishes a completely new "universal language" for intellectual property. Through a meticulously designed semantic classification system and visual coding rules, it achieves, for the first time, an intuitive expression of enterprise size, industry attributes, and business characteristics. Market research shows that this standardized expression increases the efficiency of cooperation between enterprises by 50% and reduces consumer cognitive costs by 60%. The big data analysis module in the system's implementation collects and analyzes global intellectual property dynamics in real time. The resulting industry reports and trend forecasts provide reliable data for government departments to formulate industrial policies, contributing to the establishment of a more standardized and transparent market environment.

[0071] like Figure 2 As shown in the illustration, another embodiment of the present invention also discloses specific operational steps of an intellectual property architecture based on a monopoly of an identification system:

[0072] The first step is to allow entrepreneurs to select semantic or related terms based on their company's uniqueness and apply them to the big data system;

[0073] The second step is to match the semantic relevance of the entrepreneurs to the pre-designed identification system options using the corresponding model algorithm.

[0074] Third, entrepreneurs have the right to add, delete, modify, and search for logos that they deem necessary for certification. These logos simultaneously fulfill the functions of protecting the copyright of the company's internal intellectual property, protecting the company's trademarks, and protecting the company's cultural concepts.

[0075] The fourth step is to pay the fee and encrypt the data using a hash algorithm.

[0076] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. An intellectual property structure based on a monopoly of the identification system, characterized in that: include: The semantic input module is used to receive semantic or related words provided by enterprise users; Big data analytics systems are used to process and analyze the semantic information input. The intelligent matching engine maps the semantic relevance of enterprises to a preset identification system through an algorithm model; The interface can be dynamically adjusted, allowing enterprises to perform CRUD operations on certification marks; The security authentication module uses a hash algorithm to encrypt data.

2. The intellectual property architecture based on the monopoly of the identification system as described in claim 1, characterized in that, The intelligent matching engine uses semantic analysis algorithms and correlation calculation models to achieve accurate matching.

3. The intellectual property architecture based on the monopoly of the identification system as described in claim 1, characterized in that, The dynamic adjustment interface supports enterprises in visually editing and real-time previewing the signage system.

4. The intellectual property architecture based on the monopoly of the identification system as described in claim 1, characterized in that, The security authentication module uses the SHA-256 hash algorithm for data encryption.

5. The intellectual property architecture based on a monopoly of the identification system as described in claim 2, characterized in that, The correlation calculation model is as follows: Where S is the matching score, w i is the weight, and sim is the similarity function.

6. A method for implementing the intellectual property architecture based on a monopoly of an identification system as described in any one of claims 1-5, characterized in that, Including the following steps: S1: Receive enterprise semantic input; S2: Analyze semantic relevance; S3: Match the preset identification system; S4: Allows for label adjustment; S5: Complete security certification.

Images