143 results about "Intellectual property" patented technology

A system and method for collaborative creation and management of intellectual property (IP) projects is disclosed. The system includes a server configured to dynamically assign roles and permissions to participants based on predefined criteria. A graphical user interface (GUI) facilitates real-time collaboration, editing, and version control, while a semantic analysis engine ensures compliance with intellectual property standards and assesses content novelty. Predictive analytics generate metrics, such as patentability scores and inventorship overlap, to guide project development. Contributions are electronically tracked and stored in a secure, non-transitory computer-readable medium alongside generated metrics. The system supports role-specific recommendations, automated notifications, and integration with external data sources for enhanced functionality. Participants can visualize contributions, resolve conflicts, and simulate commercialization outcomes, enabling efficient project management and innovation. This invention improves the collaborative development process, ensuring compliance, enhancing productivity, and maximizing the value of intellectual property assets.

The invention discloses a concept erasing method and system based on a T2I autoregressive visual generative model, and belongs to the technical field of intellectual property, personal privacy protection and machine learning. The method comprises the following steps: (1) positioning a causal key layer of a target concept through causal inference, including noise-free operation, noise addition operation and recovery operation, recovering an intermediate activation value of a specific layer under a noise addition condition in the recovery operation as an intermediate activation value under a noise-free condition, and determining the causal key layer according to CLIP score change of a generated image and the target concept; and (2) modifying parameters of the causal key layer based on knowledge editing to erase the generation capability of the target concept while minimizing the influence on other concepts. According to the method, the target concept representation in the model parameters can be accurately positioned, the performance influence on other functions of the model is minimized while the target concept generation capability is completely eliminated, and the requirements of intellectual property and personal privacy protection are met.

A brand protection tool for managing risk to a brand is disclosed. The brand protection tool may provide a survey to a user. The survey may include a plurality of questions related to intellectual property. Based at least in part on the survey responses, the brand protection tool may determine a risk score, a protection score, and a net protection score. The brand protection tool may automatically generate a report including the net protection score and a visualization including a representation of the risk score and protection score. The brand protection tool may provide the report to a user or downstream system.

The invention discloses a project and intellectual property achievement association evaluation method and system, and relates to the technical field of evaluation methods, and the method comprises the following steps: S1, data acquisition: obtaining project data, intellectual property achievement data and product data; s2, association model construction: constructing a project-intellectual property achievement-product association model based on the project data, the intellectual property achievement data and the product data; s3, matching degree calculation: calculating a multi-dimensional matching degree between the project and the intellectual property achievement based on the association model; s4, performing dynamic correction; and S5, value evaluation. According to the method, through quantitative analysis of a claim modification track in the review opinion reply process, especially the core index of the calculation technology abandon-retention ratio, patents which are subjected to large limitation shrinkage and of which the core protection range is seriously shrunk can be effectively discriminated, and association degree overestimation caused by neglecting the review game process is avoided.

Approaches are disclosed for providing optimized AI models for use in performing various inferencing tasks. In at least one embodiment, a user may request a model to be used to perform an inferencing task, and may be presented with one or more optimization options. The user can select one or more of these optimization options, and in response a model and parameter set can be provided to the user, where the model and / or parameter set may be optimized and / or proprietary, and thus have their use restricted. Such an approach allows a user to effectively obtain a customized AI model that can be used for a specific type of inferencing task without the need to fine-tune or customize the model. In order to protect any intellectual property (IP), such as an optimized parameter set offered by a provider, the set may be encrypted and able to be decrypted and used only in authorized environments and associated with users having a valid key or cryptographic token associated with the set of optimized parameters.

The invention provides an intelligent customer service dialogue method and system for intellectual property legal consultation, and the method comprises the steps: firstly receiving an intellectual property legal consultation request of a user, and obtaining a consultation text sequence which comprises a plurality of legal question expressions and logic association information; performing intention analysis on the consultation text sequence, and extracting surface and deep appeal elements to form an appeal element set; calling an AI legal reasoning model to perform scene element matching based on the appeal element set, and generating a legal reasoning scene anchoring result; constructing a multi-round legal reasoning chain with the appeal element set as a starting node and the legal conclusion derivation as a termination node, and generating a multi-round reasoning process record; and the content of the reasoning node is dynamically associated with the provisions of the preset intellectual property legal basis library to generate a consultation response sequence containing the reasoning logic and the legal basis, and the consultation response sequence is fed back to the user, so that the efficiency, the accuracy and the comprehensiveness of intellectual property legal consultation are improved.

A system for zero-knowledge proof of regulatory compliance for artificial intelligence model deployment encodes regulatory requirements into compliance predicates, generates and verifies zero-knowledge proofs without disclosure of protected information, updates a trust state, and enforces execution across jurisdictions and vendors while preserving privacy and intellectual property.

The application discloses a system construction method for realizing CAD model security and data property right identification management, and realizes automatic identification management of UG / NX model security and data property right classification based on a PLM system.The technical scheme comprises the following steps: step 1: security classification label, that is, determining the security label of the model through a security review process node; step 2: intellectual property right classification label, that is, determining the intellectual property right label of the model through an intellectual property right review process node; step 3: specifying the corresponding label based on an improved document review process of product life cycle management of an enterprise; step 4: remotely transmitting the label information embedding program to a task queue server, that is, triggering the embedding program to remotely transmit the label information and related model information to the task queue server after the review is completed; and step 5: automatically writing the label into the server based on UG / NX secondary development technology, so as to write the label information into the UG / NX model.

The application discloses a kind of project-oriented full life cycle intellectual property risk collaborative management method and system, it is related to project full life cycle management data processing technical field, the present application obtains the multi-source relevant data of each stage of target project full life cycle, constructs project intellectual property risk management and control benchmark database, completes data standardization processing and risk characteristic mapping, establishes the intellectual property risk grading management and control system covering project full stage, completes project full cycle risk identification, grade division and early warning by intellectual property risk intelligent identification model, issues risk disposal task to corresponding responsibility subject to realize multi-subject collaborative management, iteratively optimizes risk management and control strategy and outputs adapted management and control optimization scheme.The present application realizes project full life cycle intellectual property risk full coverage management and control, improves risk identification accuracy and multi-subject collaborative disposal efficiency, provides stable support for project intellectual property risk management and control.

The system according to this embodiment aims to efficiently uncover and appropriately utilize intellectual property hidden within a company. [Solution] The system according to the embodiment comprises a collection unit, an analysis unit, a judgment unit, a proposal unit, and a utilization proposal unit. The collection unit collects internal company data. The analysis unit analyzes the data collected by the collection unit. The judgment unit determines the potential of the intellectual property based on the results of the analysis by the analysis unit. The proposal unit proposes an application to the Japan Patent Office based on the results determined by the judgment unit. The utilization proposal unit proposes a method for utilizing the intellectual property based on the results proposed by the proposal unit.

The invention discloses an intellectual property law fact generation method and system. The method comprises the following steps: an intellectual property evidence data acquisition step: generating an initial intellectual property evidence data set with a timestamp and a fixed key set according to a spoken statement transferred by a voice recognition subsystem and written materials scanned by a text recognition subsystem; an intellectual property keyword capturing step of extracting candidate intellectual property keywords including subjects, behaviors, time, places, causal relationships and rights and obligations from the initial intellectual property evidence data set based on a keyword list in a multi-source legal corpus index database and synonymous standardization rules; and an intellectual property law fact generation step: on the basis of timeline reconstruction and role consistency verification, the candidate intellectual property keywords form an intellectual property law fact, and meanwhile, a corresponding relation between the intellectual property law fact and the initial intellectual property evidence data set is added for retrieval and recheck. According to the method, the intellectual property evidence arrangement speed and accuracy can be improved, irrelevance and fuzzy expression residues are reduced, one-to-one correspondence between intellectual property law facts and original evidences is guaranteed through traceable mapping, and rechecking performance is enhanced.

The invention relates to the technical field of delivery data processing, and discloses an AI large model-based intelligent management system for delivery of known products, and the system comprises an attribute acquisition module, a temporary scheme generation module, a key feature element identification module and a type attribute identification module, the optimization module is used for dynamically distributing a task priority of the delivery request based on the temporary correction scheme and synchronously optimizing an execution path of the delivery request based on the task priority; the conflict diffusion module is used for gathering task conflict traces of the delivery request based on the optimized execution path and the logic chain of the task priority, and constructing a conflict diffusion topological graph of the delivery request through the task conflict traces; the delivery module deploys an optimal delivery path based on the resolution result, and can solve the problem that in the prior art, the high-complexity and high-timeliness delivery requirements of the known products cannot be met.

The invention provides an intellectual property consultation session processing method based on AI application and a server, aiming at a single round of intellectual property consultation session text collected in real time, in combination with a preset intellectual property business element labeling normal form, session triad data is generated, and the intellectual property consultation session is processed. On the basis, correlating corresponding element expressions in stored historical property consultation session records, constructing property consultation appeal correlation graph data of the user, and matching new session triple data generated by a newly collected continuous property consultation session text with the graph data; extracting historical original consultation expressions and responded content expressions associated with historical nodes, fusing and complementing missing consultation contexts to obtain a complete appeal data set, identifying associated node contents corresponding to historical appeals having business continuity with current appeal type expressions, extracting core business information fragments in the associated node contents, and storing the core business information fragments in a database; and generating a potential appeal result of the user in combination with the current appeal type expression. According to the invention, the service pertinence and adaptability are improved.

The application discloses a blockchain-based art intellectual property behavior supervision and auditing method and system, and belongs to the technical field of supervision and auditing. The original behavior data is called from the art behavior database, the behavior activity level and the original behavior characteristic fingerprint are generated and written into the blockchain account book; the adaptive auditing model generalization strategy is executed based on the activity level, the parameter set after generalization is stored and a model storage fingerprint is generated, the model voucher fingerprint is generated after the original behavior characteristic fingerprint field is associated, and the model voucher fingerprint is written into the account book; the user auditing request is received and the permission is verified, the differentiated model calculation is executed and the response package fingerprint is generated; the post-checking is triggered, the structure characteristic value is recalculated and the parameter disturbance rationality verification is performed, the checking report fingerprint is generated and written into the account book. The application realizes the behavior activity level driven graded adaptive supervision and auditing, and through the multi-level fingerprint association and the blockchain storage, the credibility, the safety and the calculation efficiency of the supervision process are significantly improved.

The present application relates to the technical field of intellectual property services, and provides a dynamic generation method and system of multi-country trademark application forms, aiming to solve the technical problems of high cost of separate development of each country form, rule adaptation and adjustment, high threshold of user filling of overseas forms, and low efficiency of application form making of existing multi-country trademark application. The present application comprises: splitting different target country trademark application forms into reusable logical units and integrating standardized controls into an editor to generate form templates and corresponding configuration data that adapt to the requirements of each country; generating a hierarchical information collection interface when accessing the template, collecting Chinese format data through four independent collection sub-units of applicant information, trademark basic information, trademark supplementary information and trademark category information, and automatically converting to generate an application form that meets the official specifications of the target country. The present application can improve the form configuration efficiency, reduce the development and rule iteration cost, reduce user filling errors, and greatly improve the trademark application form making efficiency.

The application discloses a kind of generation method and system of intellectual property legal fact.The method includes: intellectual property evidence data acquisition step, according to the oral statement of voice recognition subsystem transcription, according to the written material scanned by text recognition subsystem, generate initial intellectual property evidence data set with time stamp and fixed key set;Intellectual property key word extraction step, based on the keyword list in the index library of multi-source legal corpus and synonym normalization rules, extract the candidate intellectual property key word containing subject, behavior, time, place, causality and right and obligation from the initial intellectual property evidence data set;Intellectual property legal fact generation step, based on timeline reconstruction and role consistency check, the candidate intellectual property key word is formed into intellectual property legal fact, while the corresponding relationship between the intellectual property legal fact and the initial intellectual property evidence data set is increased for retrieval and review.The method can improve the speed and accuracy of intellectual property evidence sorting, reduce irrelevant and ambiguous expression residues, and ensure that intellectual property legal fact and original evidence are one-to-one corresponding through traceable mapping, and enhance reviewability.

The invention provides an intellectual property retrieval-oriented knowledge graph construction method and device and a storage medium, and the method comprises the steps: reading a target intellectual property text data set and a parallel corpus and a reference associated text in the target intellectual property text data set, mining synonymous mapping clues, reference traceability clues and technical theme associated clues implied in the texts, and constructing the intellectual property retrieval-oriented knowledge graph by the synonymous mapping clues, the reference traceability clues and the technical theme associated clues; sorting to obtain a weak supervision signal set, extracting synonymous expression pairs in parallel corpora and semantic association pairs in a reference association text, carrying out cross validation and duplicate removal to obtain a text alignment reference set, and carrying out global association matching on the text alignment reference set and the target intellectual property text data set to obtain an initial structured knowledge unit set; the method comprises the steps of obtaining a standardized knowledge unit set, performing credibility regularization to obtain a standardized knowledge unit set, performing entity classification and relation association organization according to hierarchical requirements of intellectual property retrieval, and constructing to obtain the intellectual property retrieval-oriented knowledge graph. The intellectual property retrieval accuracy and response efficiency can be effectively improved through the intellectual property retrieval method and device.

The application discloses a kind of based on machine learning's intellectual property precision retrieval analysis method, it is related to artificial intelligence and information retrieval technical field, including: generating semantic vector and dimension spectrum vector to document library literature and query literature respectively;Recall candidate literature based on semantic vector and calculate semantic similarity;Based on dimension spectrum vector, calculate dimension spectrum distance, and determine the intensity of deviation of dimension semantics in combination with semantic similarity;Based on the statistical distribution of deviation intensity, calculate inhibition coefficient, calculate ranking score in combination with semantic similarity and deviation intensity and output result.The application can improve the precision and technical matching of retrieval result.

The present invention relates to a method and system for providing a blockchain-based intellectual property transaction, and the method for providing a blockchain-based intellectual property transaction, according to the present invention, comprises: a first step of being provided with, from a user terminal by an intellectual property transaction provision server, information and data of IP possessed by a user; a second step of pre-evaluating, by the intellectual property transaction provision server, whether or not there is a reason for restriction, before going through a detailed examination procedure by using the information and data of the IP; a third step of performing, by the intellectual property transaction provision server, detailed evaluation through qualitative evaluation and quantitative evaluation of the information and data of the IP when it is determined as a result of the pre-evaluation that there is no reason for restriction; a fourth step of determining, by the intellectual property transaction provision server, whether to list or abolish the IP, by using a detailed evaluation item; and a fifth step of issuing, by the intellectual property transaction provision server, a token corresponding to the IP so as to enable a distributed transaction of a value for the IP which has been determined to be listed.

The invention discloses a speech recognition model ownership verification method based on a synthetic vocabulary domain, and relates to the technical field of artificial intelligence, and the method comprises the specific steps: synthesizing synthetic vocabularies which accord with a target language rule and are in multi-dimensional low coincidence with an original training corpus, and constructing a synthetic text sample set with reasonable syntax and self-consistent semantics; converting the synthetic text into a voice signal, performing multi-dimensional screening to obtain a watermark sample, and constructing a synthetic vocabulary voice watermark data set; constructing a joint training data set, and on the premise of keeping the original main task recognition performance of the model, weighting joint optimization loss to complete watermark embedding; inputting a watermark verification subset under a black box condition, and performing statistics on a verification identification success rate to complete model ownership judgment; according to the method, watermark sample construction and model weighted training are completed by constructing the synthetic vocabulary field, black box verification is performed in combination with statistical test, model harmless watermark embedding is realized, verification accuracy is improved, watermark tampering resistance is enhanced, and model intellectual property is effectively protected.

This disclosure offers an end-to-end system and method to enable companies to create differentiating capabilities rapidly by tapping into a large pool of independent software vendors (ISV) while protecting and utilizing enterprise's proprietary digital resources. Examples of such resources include data and compute / storage infrastructure including Large Language Model (LLM) infrastructure. This disclosure enables complete separation of ISV's developed intellectual property (SoftIP) such as code / processes from enterprise data and resources. In addition, this system and method enables the SoftIP to be executed at a third party facility secured with advanced cryptographic technologies to ensure code integrity and secure access to enterprise's proprietary digital assets.

The invention relates to a law decision result prediction method and system, and the method comprises the steps: constructing an intellectual property case keyword dictionary, and obtaining a law text of an intellectual property related case from a first public database through the intellectual property case keyword dictionary; obtaining enterprise economic data corresponding to each legal text from a second public database; constructing a structured topic extraction model, and training the structured topic extraction model by using the legal text and the enterprise economic data; constructing a legal judgment result prediction model, and training the legal judgment result prediction model by using a topic distribution result output by the trained structured topic extraction model; and obtaining a legal text and enterprise economic data of a to-be-predicted object, inputting the legal text and the enterprise economic data into the trained structured topic extraction model to obtain a topic distribution result, and inputting the topic distribution result into the trained legal judgment result prediction model to perform legal judgment result prediction. According to the method, the prediction accuracy and the interpretability of the legal judgment result of the legal text of the intellectual property case can be remarkably improved.

A method for searching a target intellectual property to find a target item according to an embodiment is executed by a computer device. The method for searching the target intellectual property to search the target item comprises the following steps: obtaining a query word of a specified target item; and based on the query word, searching a plurality of target intellectual property rights for at least one purpose in research and / or development and production of the target project. Wherein the plurality of target intellectual property rights comprise respective intellectual property rights of at least two elements in the elements of the target project, and / or intellectual property rights which are used for implementation, operation, production and application of the target project and are related to a combined technology of the at least two elements.

The invention provides a railway intellectual property achievement transformation system and achievement transformation method, and relates to the technical field of computers, and the method comprises the steps that an achievement resource management module obtains a railway intellectual property achievement data set; a screening optimization module obtains multiple groups of railway intellectual property achievements according to the target technology classification and the railway intellectual property achievement data set; the achievement evaluation module inputs the railway patent data into a quantitative scoring model to obtain corresponding initial patent data scores; when the initial patent data score is greater than or equal to a preset patent data score, inputting a pre-trained technical value scoring model to obtain a technical value score, and obtaining a processed patent data score; obtaining a target patent data score according to the railway patent data and the processing patent data score; and the conversion service module obtains a railway intellectual property achievement conversion result through user requirements, target technology classification and target patent data scoring. According to the invention, the transformation efficiency of railway intellectual property achievements is improved.

The present invention provides an information processing device, an information processing method, a computer program, and a non-transitory computer-readable medium that can assist clients in appropriately selecting an agent in the field of intellectual property. [Solution] An information processing device 40 relating to intellectual property, comprising a processor 432 and a memory 431 storing at least one instruction executable by the processor, obtains information related to the request that the first user, who is the client, is about to make to a second user, who is a potential agent, from a first terminal device 10 of the first user, obtains task content information indicating the task content based on the information related to the request content, transmits the task content information to each of multiple second terminal devices 20 of multiple second users, obtains at least answer information indicating the second user's answer to the task content indicated by the task content information from each of the multiple second terminal devices, generates display data including the answer information, and transmits the display data to the first terminal device.

The invention provides a law case recommendation method and system based on a large model, and relates to the technical field of intellectual property, and the method comprises the steps: obtaining document data of an intellectual property case, a user operation sequence corresponding to a to-be-analyzed technical scheme, and law text information of a to-be-queried case, and constructing a technical knowledge graph based on the document data; inputting the technical knowledge graph and the user operation sequence into a time sequence graph neural network, and generating a mode vector and weight information; generating technical association data based on the mode vector and the weight information, and processing the technical association data by using a variational auto-encoder to obtain enhanced technical feature data; and finally, inputting the enhanced technical feature data and the legal text information into a large legal model, generating a joint query vector, and performing case retrieval to obtain a class case recommendation result. According to the method, the association accuracy of the class case recommendation result and the technical facts is improved.

Deploying neural networks that use unique data sources generated by enterprises as training or input data has significant potential to unlock novel insights and domain-specific Al capabilities. However, data owners are often hesitant to share their proprietary and valuable datasets with third parties for training neural networks, even though doing so could provide significant benefits. Similarly, neural network owners are reluctant to expose their confidential weights and biases, which represent critical intellectual property. The proposed solution is based on both data and neural network parameters being transformed into a secure mathematical space, enabling collaborative training and deployment of neural networks without exposing sensitive information. The solution proposed here resolves data and neural network model privacy issues by allowing data owners and neural network owners to work together securely, ensuring that neither party's assets are compromised, while still enabling effective collaboration.

The invention relates to the technical field of intellectual property data processing, and discloses an intellectual property data collection method and system based on multi-source data fusion, and the method comprises the steps: obtaining an original information set, and carrying out the clustering and grouping processing of the original information set, and obtaining a classification data set; performing feature verification and matching analysis on the classification data set to obtain a feature matching score; if the feature matching score is higher than a preset analysis threshold value, performing structured analysis on the classification data set to obtain a preliminary analysis field; performing standardized mapping processing on the preliminary analysis field to obtain data in a unified format; performing associated value mining on the data in the unified format to obtain high-value associated information; and fusing the high-value associated information to a preset overall data set to obtain a target intellectual property data set. According to the method, efficient integration and deep value mining of multi-source heterogeneous data can be realized, and the acquisition precision and standardization level of intellectual property data are remarkably improved.

The invention relates to an open source software-oriented license automatic identification and compatibility detection system and method, and solves the problems of low license identification accuracy, few support types, insufficient clause analysis automation, lack of fine-grained clause support in compatibility judgment and the like. The system integrates open source license data acquisition, a structured term knowledge base and a compatibility matrix based on project scanning analysis, hybrid license identification, fine-grained term extraction and a large model driven attitude identification and compatibility detection module. The method comprises the steps of data acquisition, project analysis, hybrid identification, clause extraction and attitude identification, knowledge base construction and project-level compatibility detection. A large model is deployed locally, and license explicit name extraction and clause attitude identification are supported; and the extraction of 23 types of core terms is realized. The whole process from project input to compliance output is automatic, and the recognition precision, the analysis depth and the interpretability are improved. The method is used for open source compliance management, software supply chain security examination and intellectual property risk prevention and control.

Systems and methods for intellectual property model parameter training and utilization are disclosed. For example, intellectual property assets are analyzed quickly and based on parsed data from multiple disparate datasets to generate quality scores. The quality scores are then utilized for multiple purposes, including determining financing amount indications, insurability indications, feedback loops, benchmarking, entity rating, and other purposes.