Innovation Assessment for Patent Development

Intellectual property management platform for universities to improve intellectual property education and value creation. The platform collects real-time data on teacher-student innovation projects, expands keywords, evaluates scalability, and provides guidance. Teachers divide project stages and set standards. It connects to teacher terminals to collect innovation process data, expands keywords, evaluates scalability, and provides guidance. The platform extracts relevant keywords from patents and databases to assess project potential. The goal is to enhance IP understanding, design, and value through data analysis.

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Intellectual property data platform that provides enhanced intellectual property management services by processing, categorizing, and analyzing intellectual property data using natural language processing techniques. The platform collects intellectual property information from sources, preprocesses and analyzes the text, measures similarity, learns categories, and stores labeled data. It then offers services like schedule management, prior art search, and reports using the processed data. The platform customizes patent attorney recommendations and tech trend insights based on user fields.

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An improved computer for technology that calculates and reports on inventions in order to improve the efficiency and effectiveness of technology innovation and protection. The computer uses machine learning and artificial intelligence programs to identify, evaluate, and prioritize inventions across a range of metrics including commercial potential, patentability, integration opportunities, and competitor targeting.

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A big data-based system to manage technology innovation in large enterprises. The system has modules for resource management, project management, declaration management, intellectual property management, data management, and assessment management. It provides a dynamic innovation data center and communication platform to coordinate technological direction, process management, and implementation. The system leverages big data integration to informatize basic management, digitize in-depth management, and intelligentize advanced management of technology innovation.

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A system to objectively evaluate and categorize innovation content to minimize subjectivity and risk in innovation analysis. The system has two subsystems: one to assess the scope of innovation based on geographic novelty levels, and another to categorize based on factors like innovation degree, activity nature, engagement, and barriers.

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Corporate intellectual property management system that helps companies make informed decisions about patent rights by analyzing the value and strategic fit of their intellectual property. The system interconnects a company, research teams, and patent agents to manage IP projects, provide quotations, and conduct patent asset due diligence. It generates services like government project recommendations, agent selection, and IP management based on matching IP project plans and agent experience. Due diligence involves guidelines, map analysis, and prediction to classify IP as keep, license, or discard.

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Method for accurately evaluating the innovation stability of scientific and technological enterprises by leveraging their intellectual property portfolios. The method involves obtaining the intellectual property information associated with the enterprise, determining the total amount of innovation in each cycle based on the number and weight of IP types, and then evaluating the innovation stability based on the staged stability of each IP type. This allows evaluating innovation stability more accurately by directly assessing the enterprise's IP generation over time rather than relying solely on financial data.

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A system for evaluating the feasibility of technology development and idea commercialization. The system involves a multi-stage evaluation process that requests prior patent evaluation, technology feasibility evaluation, project feasibility evaluation, and comprehensive commercialization feasibility evaluation. It allows to evaluate whether commercializing a technology idea is appropriate by requesting expert evaluations at each stage. The evaluations are based on factors like patent analysis, market trends, industry attractiveness, business models, and net present value calculations.

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A system for evaluating the technical value of intellectual property rights that provides a more reliable and objective way to calculate the value of intangible assets like patents. The system uses data from intellectual property and financial statement databases to evaluate factors like technological contribution, business feasibility, and industry discount rates to determine the value of the intellectual property. It involves steps like estimating the industrial importance of the technology, evaluating the degree of technological contribution, calculating discount rates and annual free cash flow, and finally determining the technology value.

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A method for managing intellectual property (IP) rights using enterprise resource planning (ERP) software. The method involves using ERP systems to manage and analyze a company's own technology, decide whether to patent it, estimate the potential value, and determine the patent maintenance period. This allows smaller companies with limited resources to better assess and optimize their IP strategy compared to full patent evaluations.

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A system to facilitate transfer and transformation of scientific and technological achievements that addresses the challenges of matching supply and demand of technology. The system has modules for technology evaluation, demand evaluation, and achievement docking. It aims to improve technology transfer efficiency by assessing the technical merit and demand feasibility of technologies, then matching them. This allows more targeted and successful technology transfers compared to traditional patent-based approaches. The system also provides features like intellectual property stability assessment and pricing models to mitigate risks and trust issues in technology transfers.

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Automated work system for analyzing technology, intellectual property, and corporate management for commercialization of new businesses. The system provides a repeatable and focused method for starting, building, and launching a new company that reduces risk, cost, and time to success. It uses automated data collection and analysis from web crawlers, databases, and enterprise tools to assess market needs, technology viability, innovation potential, and management effectiveness. The system has phases with goals, milestones, and confidence scores to track progress and make recommendations. It generates insights, alerts, and reports for each phase and functionality area. The system also provides automated recommendations for improvement. The goal is to objectively and systematically evaluate and bring technologies to market with lower risk, cost, and time compared to traditional methods.

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System to manage new knowledge generation in a research project and automatically document the process for publication purposes while tracking potential novelty. The system involves structured ideation steps for research proposal planning, critical literature review, theoretical synthesis, and abstract creation. It also assesses potential novelty at each stage. The system captures user decisions from tangible sources like articles, allowing quick reference without re-reading. This expedited referral process saves time compared to directly accessing articles. The system's embedded assessment method forecasts potential intellectual property from the research.

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A platform for innovation management and idea evaluation that enables sharing, development, and sponsorship of innovation ideas within and between companies. The platform allows employees to submit and view innovation ideas, provide comments and evaluations, and find sponsors for their ideas. It also provides tools for defining problems, identifying necessary actions, and evaluating ideas using various models.

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A system for managing intellectual property (IP) incubation, formation, and evolution in scientific research projects. The system aims to better manage IP in research projects, especially major national projects, to facilitate commercialization and strategic importance. It has three modules: incubation during project approval to identify potential IP, formation during acceptance to develop stable IP systems, and evolution after acceptance for IP commercialization and monitoring. The modules involve steps like IP project evaluation, achievement management, thematic database, and IP analysis/protection.

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Enterprise patent full life cycle management system that enables effective management of patents from ideation to commercialization. The system has modules for evaluating technological innovation, approving patent applications, obtaining market information, and monitoring patent implementation to maximize patent value. This comprehensive approach helps enterprises generate high-quality patents, secure strong protection, commercialize patents, and optimize patent management throughout the lifecycle.

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Analyzing intangible assets like intellectual property using a framework to provide meaningful information to organizations. The framework involves qualitative and quantitative analysis of intangible assets like patents to determine metrics like coverage, opportunity, and risk. It involves identifying factors like claim strength, market size, and litigation probability. This allows assessing the overall value of intangible assets beyond just monetary worth.

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An intellectual property value evaluation method that accurately reflects the true value of intellectual property assets by categorizing and adding the costs of technical and identification intellectual property rights based on technical and management elements. It calculates the contribution of technology and identification IP to corporate profit, then adds the total cost of both types to get the IP asset value. This considers the future market revenue and encourages independent innovation. The method involves categorizing technical IP costs, adding them, categorizing identification IP costs, adding them, calculating IP contribution to profit, and combining totals.

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A system for analyzing and evaluating the intellectual property (IP) performance of enterprises using big data techniques. The system collects and stores enterprise and IP data, allows users to search and analyze it, and provides insights into areas like IP creation, technical direction, collaboration, and management level. The analysis helps enterprises measure their innovation and IP management capabilities, and provides decision-making support for governments monitoring regional IP development.

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Method for deriving R&D investment fields using a system that efficiently allocates R&D budgets by quantitatively evaluating technology classifications. The system collects expert evaluations of factors like performance, maturity, and future value for each tech classification. It calculates a tech investment score for each classification by combining the expert assessments. When requested, the system provides R&D investment recommendations by ranking classifications based on their calculated scores.

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A patent evaluation system that determines the patentability of an invention idea. The system uses an automated process to compare an invention sentence with existing patent sentences using an edit distance measure. The comparison looks for similar sentences in a patent sentence database. The determination of patentability is based on multiplying the reciprocal of the edit distance with the length index of the invention sentence and the content rate of the keyword.

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Intellectual property financial system to improve the quality and transparency of buying, selling, and financing intellectual property assets like patents, trademarks, and copyrights. The system involves a review module to validate IP data, an evaluation module to estimate value using cost, market, and income analysis, and a financing module for IP-backed loans. It aims to prevent low-quality, fake IP from entering the market, provide better financial services for IP transactions, and improve IP asset valuation and transfer methods.

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Intellectual property achievement transformation management system to facilitate commercialization of intellectual property (IP) by addressing the factors that restrict IP transformation. The system includes modules for IP resource integration, achievement management, evaluation, investment finance, and result exchange. It aims to improve IP transformation by addressing issues like imperfect systems, information asymmetry, immature IP, lack of funding, and support. The system collects IP data, evaluates transformability, provides financing options, and connects IP holders with investors.

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A commercialization development system and method using patents to improve the success rate of technology commercialization and standardize the process. It leverages patent information, additional data, and expert diagnosis to recommend optimal commercialization models. The system provides a platform for technology providers to identify application fields, generate project ideas, and connect with investors. It also manages equity conversion, valuation, and trading. The method involves analyzing patent prior art, identifying multi-application fields, and matching consumer needs. It calculates commercialization factors, converts equity based on valuation, and tracks performance.

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A system for comparing and evaluating intellectual property documents to provide an automated and standardized way to assess the value of intellectual property assets. The system includes a client application for entering IP document details and a server with modules for case evaluation and value evaluation. The case evaluation module analyzes factors like novelty, inventiveness, and industrial applicability. The value evaluation module determines the monetary worth based on factors like market demand, competition, and potential royalties.

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Method for objective evaluation and trading of patented technologies. The method involves using technical evaluators to provide objective valuations of patented technologies. This involves presenting the evaluators with the technology and relevant patent trial and litigation data. The evaluators then evaluate the technology value. By forcing sequential evaluation and penalizing non-compliance, it compels faithful evaluations. The valuations are collected and analyzed to determine the technology value. This provides objective valuations for trading patented technologies.

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Method for evaluating the technical value of intellectual property using a system that automatically selects the optimal evaluation method based on the technology being valued. The system provides multiple evaluation methods like market approach, cost approach, and royalty deduction, and finds the most appropriate one for the specific technology. It also calculates investment activation indicators that reflect factors like company investment in R&D and technology life cycle compared to similar companies. This provides three-dimensional information to accurately judge the technology for trading decisions.

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A comprehensive system for evaluating enterprise innovation capability using four aspects: production innovation, innovation input, intellectual property, and innovation driving ability. It provides a more complete and scientific evaluation of enterprise innovation compared to existing methods. The four aspects cover different aspects of innovation like applying innovative ideas/tech in production, investing in innovation, creating/protecting IP, and realizing innovation value.

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Patent trend analysis system that uses AI and machine learning to provide automated patent search, analysis, and valuation services. The system collects patent data, develops machine learning models for search, analysis, and valuation, and provides web applications for users to access the services. It expands user search queries, guides more relevant keywords, performs patent analysis using TRIZ design principles, and values patents based on factors like aesthetics, brand, and environment.

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A system to efficiently evaluate the value of intellectual property (IP) rights using automated modules. The system involves four modules: 1) input fee statistical module to analyze historical IP registration fees, 2) innovation evaluation module to assess the novelty and originality of the IP, 3) maturity evaluation module to determine the stage of development of the IP, and 4) market appraisal module to analyze factors like market size, competition, and demand. The system provides a preliminary IP valuation based on these assessments and reduces subjectivity compared to manual evaluation.

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A system for evaluating the innovation capability of enterprises using a four-level assessment framework with indicators that comprehensively measure innovation inputs, synergistic innovation, intellectual property, and innovation drive. The system has modules for assessing innovation funding, capabilities, institutions, cooperation, creation, protection, and use of intellectual property. This holistic approach provides a more accurate and effective way to evaluate enterprise innovation compared to isolated assessments of individual aspects.

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An intellectual property (IP) value evaluation system to provide a preliminary IP valuation to reduce errors in final assessments. The system involves breaking down IP valuation into multiple assessment modules like investment cost, innovation, maturity, market application, implementation ability, monopoly, ownership, and quantity. This allows staff to input basic IP details and get an initial valuation rather than manually evaluating the entire IP. It provides a reference standard to reduce the chance of error in final assessments.

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A method for assessing the value of intellectual property rights that aims to provide a more objective and comprehensive way to determine the value of intellectual property compared to traditional methods. The method involves a multi-step process that considers factors like stability of the IP rights, inventor expertise, field of technology, IP content quality, and more. It aims to provide a more detailed and three-dimensional evaluation of IP value by using disaggregated evaluation and involving stakeholders like inventors, commenters, and the public in the assessment process.

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A system for assessing the value of intellectual property rights that provides a more objective, detailed, and comprehensive evaluation compared to traditional methods. The system uses a multi-dimensional approach to evaluate factors like inventor expertise, patent quality, legal status, and market potential. It involves a self-assessment module, management module, expert database, comment/reply/live discussion modules, and reporting/publicity module. This allows a more disaggregated, interactive, and iterative evaluation process compared to the subjective and formal reports of traditional methods.

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An idea fostering and evaluation system that uses big data to help inventors turn their initial concepts into commercially viable products. The system provides self-evaluation tools for inventors to refine their ideas, and expert evaluation to further develop them. It also calculates the achievability of the ideas based on the evaluations. The system links inventors with necessary knowledge and technology providers. A negotiation feature allows inventors to find and contract with suppliers for specific needs. The system also leverages big data analysis to evaluate new ideas based on past success rates.

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A reverse auction system for intellectual property services that allows idea providers to select the best conditions from certified IP agents. The system receives ideas seeking protection, allows agents to bid on the work, and lets providers choose the preferred conditions. This provides a competitive marketplace for IP services and allows providers to find agents who offer the best value and expertise. The system also includes steps for prior art search, registration analysis, and progress tracking.

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A system to manage and facilitate the commercialization of scientific and technological achievements. It consists of modules like science result evaluation, patent instructions, market information, transaction structure, contract, and monitoring. The system captures detailed information about scientific discoveries, evaluates their commercial potential, provides patent guidance, connects them to relevant markets, facilitates transactions, generates contracts, and oversees the process to maximize commercialization and value extraction from scientific breakthroughs.

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A method and system for efficiently analyzing intellectual property (IP) of industrial projects to determine if it provides adequate protection and identify potential issues. The method involves obtaining the project and related IP, analyzing the technology points and patents, and making decisions based on factors like remedies, validity, and patent influence. This helps determine if the IP is sufficient for industrialization and identify areas for improvement. The system has modules for item analysis, decision making, and feedback.

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A platform for managing innovation and intellectual property that enables crowdsource idea generation, publication, feedback, and recognition. The platform provides a publication engine for users to submit, publish, track, receive feedback, and pay for their ideas. It also has an aggregation engine to relate published ideas and an enterprise engine for managing corporate IP. Features include public recognition awards, a patent petition platform, and an idea-sharing forum.

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