IP Assessment Automation

An intellectual property (IP) evaluation system that provides a comprehensive IP value analysis beyond just financial performance. The system collects IP data, classifies it, analyzes and evaluates it, and scores IP value based on the analysis. It uses statistical classification algorithms to classify and store IP file data. Retrieval, comparison, analysis, evaluation, and litigation status are done using the classified data. The system then scores IP value based on the analysis.

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Analyzing intellectual property (IP) data related to products and services to provide IP-related services. The method involves using natural language processing (NLP) and machine learning (ML) techniques to analyze IP documents and product/service data. It extracts linguistic structures from IP assets and products/services. It maps IP assets and products/services to technology categories. By comparing linguistic structures and category mappings, it determines IP assets related to products/services. This enables services like valuing IP, identifying infringement, and finding products covered by IP.

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A method for evaluating the value of intellectual property rights using big data to provide more accurate and reasonable results compared to traditional methods. The method involves constructing an intellectual property characteristic database using a big data platform. It then features matches the intellectual property, classifies it, analyzes the content, and inputs the features into a neural network model to evaluate the property value. If the result falls within a threshold, it's sent to the user. This uses big data to collect more information and reduce uncertainty compared to traditional evaluation methods.

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Patent evaluation system based on intellectual property operations that uses automated analysis to evaluate patent value instead of relying solely on human experience. The system involves analyzing patent documents and comparing them to a database of similar patents to generate an evaluation report. It involves modules for analyzing patent data, sorting the analyzed data, storing the evaluation report, and printing it for output. This allows objective, data-driven patent valuation rather than subjective human assessment.

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A method for analyzing intellectual property data to determine the value of patents and other IP rights. The method involves using a system with steps including user registration, patent database search, patent analysis center refinement, report generation, and report typesetting. The user describes the IP they want analyzed, the patent database searches for relevant data, the analysis center refines and generates reports, and the typesetting terminal optimizes and exports the final report. The analysis involves fundamental analysis of patent descriptions and technical analysis of indexing and reading.

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Analyzing intangible assets like intellectual property to provide meaningful information to organizations. The analysis framework involves qualitative and quantitative analysis of intangible assets like patents. The qualitative analysis evaluates factors like coverage, opportunity, and risk. The quantitative analysis determines monetary value. The framework allows assessing intangible assets beyond patent count. It analyzes factors like strength, market size, alignment, expiration, and invalidity.

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Intellectual property (IP) evaluation system that provides objective and customized IP valuation using machine learning and knowledge databases. The system takes in basic IP data, identifies the IP type and validity, reviews against a library of similar IP, evaluates the IP, and authenticates the result. This integrated approach provides more accurate and consistent IP valuations compared to relying on different institutions.

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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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Intellectual property (IP) value evaluation system using AI techniques to provide automated and objective evaluation of IP assets like patents, trademarks, and copyrights. The system receives user input to determine the type of IP being evaluated. It then analyzes semantic similarity using natural language processing, image similarity using computer vision, state analysis, classification analysis, and bibliometric analysis to generate scores. These scores are combined to calculate a reference value for the IP. The system leverages AI techniques to provide more efficient, consistent, and objective IP valuations compared to manual evaluation methods.

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An intellectual property (IP) evaluation system that provides a more objective and authoritative evaluation of IP value. The system uses a structured process with modules like feature classification, legal query, patent retrieval, matching, and scoring to analyze IP. It extracts features from the IP description, queries legal databases, retrieves similar patents, matches them, manages rights, and stores user data. This provides a systematic and evidence-based approach to IP evaluation that goes beyond subjective assessments.

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Intellectual property (IP) valuation system using big data to quickly, authoritatively and effectively evaluate IP values for transactions. It involves a client device, evaluation server, background manager, and database server connected through the internet. The server collects user and IP data, processes it, matches rules, infers values, and transmits results. The system integrates tech, economics, and law for comprehensive IP valuation.

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Intellectual property (IP) assessment system that allows users to evaluate the novelty, creativity, and practicality of IP rights. The system involves a user client, server, database, and IP evaluation module. The IP assessment module evaluates IP rights based on criteria like novelty, creativity, and practicality. The user provides input about the IP to the assessment module. The system also stores and provides IP data. This allows users to query IP information and use the assessment module to evaluate new IP.

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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 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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Automated system for evaluating the value of intangible assets like patents and intellectual property. The system uses a server to manage the evaluation process and coordinate between multiple evaluators and the asset owner. The server orders the evaluations based on the asset provider's request, sends the request to evaluators, collects their valuations, analyzes the results, and notifies the provider of the determined value. This allows multiple evaluators to provide independent assessments and average them to determine an objective value.

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Automated method to evaluate the value of intellectual property rights using factors like corporate value, business relationships, and citation history. It involves computing an evaluation index for a patent based on factors like the corporate value of the patent applicant, relationships with other patent applicants, and citations from other patents. This index reflects the patent's commercial potential and value.

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