10 results about "Intellectual property management" patented technology

The invention provides a library copyright risk intelligent early warning method based on multi-source heterogeneous data and a dynamic risk threshold, and relates to the technical field of intellectual property management. According to the method, judicial referee data, library business system data and copyright database data are acquired, environmental factor data including hot topics and policy changes are introduced, and a fusion feature data set and copyright risk index system is constructed; and training a machine learning time sequence model based on the historical index data and the environmental factor data to generate a dynamic risk threshold value, performing early warning judgment in combination with the real-time index data, and generating an interpretable early warning report. According to the method, self-adaption and accurate early warning of the library copyright risk are realized, and the risk of misinformation and missing report is reduced.

The present application belongs to the cross technical field of computer software and intellectual property management, and specifically relates to a kind of intellectual property whole life cycle intelligent management method and system based on value code.The present application aims to utilize digital identity identification (value code), block chain storage, intelligent contract automatic execution and other technologies, to build an integrated management platform of intellectual property registration, circulation, rights protection and value evaluation, which is traceable, verifiable and can automatically execute right distribution.The system anchors assets by generating a globally unique value code for intellectual property, deploys modularized smart contracts for ownership, license, rights protection and other modules, uses oracle network to realize off-chain event-driven on-chain state change and trusted storage.In addition, a dynamic value evaluation model is built by combining multi-source data and verifiable computing, and cross-chain interoperability protocol is used to realize cross-domain collaborative governance of assets.The present application effectively solves the problems of scattered ownership records, low efficiency of right distribution, value evaluation disconnection and poor cross-system interoperability in traditional management, and realizes cost reduction and efficiency improvement and value maximization of intellectual property management.

The invention provides a patent risk assessment method and system, and belongs to the technical field of intellectual property management, and the method comprises the steps: determining important factors used for key technology patent risk assessment, and the important factors comprise a risk occurrence probability, risk severity and a risk severity weight coefficient; constructing a qualitative and quantitative relationship among the risk occurrence probability, the risk severity and the risk severity weight coefficient, and determining quantitative values of the risk occurrence probability, the risk severity and the risk severity weight coefficient; and constructing a patent risk evaluation model, calculating a risk coefficient based on the patent risk evaluation model and quantitative values of the risk occurrence probability, the risk severity and the risk severity weight coefficient, and evaluating the patent risk of the key technology through the risk coefficient. According to the invention, patent risk assessment of large-scale systems and small-scale parts in airplanes or large-scale equipment can be realized, patent risk assessment is objective and real, and the operation process and the assessment result are more accurate.

The application provides a blockchain and smart contract based intellectual property whole life cycle management platform, which improves the right protection efficiency of intellectual property management. First, the original data and ownership information of intellectual property are extracted to generate a digital fingerprint, and a cross-chain association index is generated, and a privacy verification voucher is generated; then, a state transition graph is preset and an evolvable smart contract is deployed, including a core logic layer and a strategy layer, the strategy layer accesses an external legal database and judicial case data through an oracle network, and optimizes right protection strategy parameters and fee payment thresholds; finally, off-chain infringement monitoring data is obtained, when the monitoring data triggers the right protection strategy parameters, a joint signature is generated, a right protection request is initiated and the progress is fed back on chain. Through the cooperation of heterogeneous cross-chain storage, evolvable smart contract and threshold signature automatic right protection mechanism, the credibility of intellectual property right protection, the adaptability of life cycle management and the automation degree and success rate of right protection are significantly improved.

The invention discloses a big data-driven intellectual property value dynamic evaluation and transaction matchmaking system, and relates to the fields of big data analysis, artificial intelligence, financial science and technology and intellectual property management. Aiming at the problems of high subjectivity, update lag, low transaction matching efficiency and the like of traditional intellectual property evaluation, the system integrates multi-source heterogeneous data acquisition and fusion functions, a dynamic value evaluation model is constructed based on an AI technology, and real-time value quantification is realized by integrating multi-dimensional factors; supply and demand parties are accurately matched through an intelligent matching algorithm, risk early warning, a credit evaluation mechanism and an automatic transaction management process are matched, and visual decision support is provided. Experiments show that the correlation between the system evaluation result and the market trading price is improved by more than 20%, the matching success rate is more than 70%, the period is shortened by 40%, and the risk early warning accuracy is significantly superior to that of a traditional method. The system can be widely applied to the fields of intellectual property operation, investment and financing, scientific and technological achievement transformation and the like, evaluation objectivity and transaction efficiency are effectively improved, and market resource allocation is optimized.

The present application relates to the field of computer information technology, in particular to a kind of based on scientific research project's intellectual property management system, comprising: project intellectual property management module, for constructing the patentable knowledge graph of scientific research project, obtains series technical disclosure material;High-value intellectual property cultivation module, for establishing multidimensional evaluation mechanism, obtains patent layout score;Technology disclosure management module, for forming technology disclosure library, carries out patentable search and re-optimization integration, forms a series of patent proposal;If the patent proposal formed is batch proposal, the batch proposal is re-input into high-value intellectual property cultivation module, obtains new patent layout score;According to new patent layout score, sorting analysis is carried out, and whether high-value patent cultivation target can be achieved is re-evaluated.By the system, from technical achievements to patent proposal can be realized automatic mining and systematized layout, and the value of patent layout is quantitatively evaluated by multidimensional evaluation mechanism.

NeuralClaim Al is an Al-powered system that autonomously identifies emerging technological gaps, generates novel inventions, evaluates patentability, and automates patent drafting. The system integrates Al-driven problem identification, generative design, prior art analysis, adaptive claim optimization, and blockchain-based licensing to streamline the intellectual property lifecycle. By enabling tiered licensing and Al-powered compliance enforcement, NeuralClaim Al democratizes innovation while ensuring enforceable IP protection. Field of the Invention: This invention relates to artificial intelligence, intellectual property management, and innovation commercialization. It specifically addresses an Al -driven system that continuously monitors global research, autonomously generates patentable inventions, assesses their novelty and feasibility, and facilitates ethical commercialization through structured licensing frameworks. Background of the Invention: Traditional patent systems are slow, costly, and inaccessible to independent inventors and startups. Patent hoarding, inefficient prior art searches, and limited technology access further hinder innovation. While Al has begun assisting patent drafting, it has yet to optimize the entire invention lifecycle. NeuralClaim Al introduces a comprehensive solution, automating real-time problem identification, Al-generated solution synthesis, prior art analysis, adaptive patent optimization, and ethical commercialization. By accelerating innovation, reducing barriers to IP protection, and ensuring equitable technology distribution, this system redefines how patents are created, evaluated, and commercialized.

The present disclosure relates to intellectual property (IP) management systems, and more particularly, to a scalable, multi-tenant platform for managing diverse IP assets with integrated artificial intelligence (AI), workflow automation, financial management, and interoperability with global IP databases and government systems. The intellectual property (IP) management computing system and method 100 disclosed herein brings together innovators, administrators, and IP agents to collaborate efficiently within one smart ecosystem. Each role is supported by customized dashboards, intelligent workflows, and AI-powered tools configured to optimize their specific tasks. Users move through the system from idea generation to filing, management, and IP protection, ensuring clarity and control at every stage. Real-time updates, shared access, task management, and communication tools, promote transparency, teamwork and faster execution. The computing system and method streamlines the entire innovation cycle capturing, nurturing, managing and safeguarding intellectual property.

The invention discloses an intelligent risk early warning system and method based on multi-dimensional information fusion. The intelligent risk early warning system comprises a name and obligee similarity calculation module, a trademark commodity service comparison module, an image feature extraction module, a multi-dimensional feature database and a comprehensive risk calculation module. According to the method, four core dimension data including trademark names, obligee information, commodity service classification and identification images are organically fused, and a collaborative strategy of text multi-dimension comparison, multi-channel representation, multi-agent rule matching and image multi-view feature extraction is adopted, so that the approximate risk level of the trademark is accurately judged; and key technical support is provided for trademark registration examination, infringement monitoring and intellectual property management.

The invention discloses an artificial intelligence intellectual property state tracking and early warning method and system, and the method comprises the steps: collecting and uniformly preprocessing legal provisions and historical state change logs of all judicial jurisdictions in the world, building a multi-source heterogeneous legal corpus, achieving the coding and alignment of legal semantics through combining with a multi-language pre-training model, and achieving the early warning of the state of the intellectual property. Constructing a comprehensive analysis mechanism of a cross-domain state transition and evolution trend by utilizing a graph neural network and a probability model; and performing dynamic semantic distance and evolution trend calculation on the target intellectual property state, and outputting a risk early warning signal after fusing the weight matrix to realize continuous optimization of the model, so that the cross-domain legal semantic comparability and the state change prediction accuracy are improved, and the intellectual property management intelligence and early warning capability are enhanced.