The present invention is a user-friendly patent ecosystem incorporating an analytics engine and Hyperledger. The present invention manages its blockchain-based Global Patent Registry (GPR) on Hyperledger. The present invention provides a GPR blockchain solution for chain of custody patent registration with a focus on backward-compatibility for the IP platform middleware of the present invention.

A content provision system in which a script that is generated by a creator and includes identification information of content and comment information is stored in a predetermined storage medium to be browsable by a user, the content providing system including a control unit that performs control to execute reading, according to a script selected by the user, content indicated by content identification information included in the script by using a right that the user has already acquired by a contract with a specific service, and provide the content to the user, and control to read a comment according to the comment information included in the script and provide the comment to the user at least one of before or after the provision of the content.

A distributed networked computer system and methods for managing securitization of intellectual property assets wherein investors are paid from the revenue stream associated with the intellectual property as the revenues are received.

Methods, systems and software include programmatically downloading over the Internet, at routine intervals of time as well as on demand, from an online computer system of the USPTO, data relating to patent properties that are associated with a customer number; and creating a docket based on the downloaded data, generating and displaying a report generated from the downloaded data, sending an alert (email or text message) that is based on the downloaded data, or any combination thereof. Data specific to a particular client also is provided to the client programmatically, with reports, alerts, docketing, or any combination thereof, further being provided for use by the client.

Systems and methods for intellectual property (IP) asset protection are disclosed. For example, by analyzing characteristic information associated with a user, along with feedback from one or more potential insurers, the system may determine various terms of an insurance policy for protecting the user against claims of IP infringement. The policy may provide for financial reimbursement for costs incurred while taking active measures to mitigate losses and/or defend against such claims. In addition, the system may analyze the characteristic information to identify various users having a low exposure of an infringement claim being asserted. The identified users may be actively targeted to acquire an IP protection policy.

An automatic industry classification method comprises: determining a scope of target patents, defining a target industry tree; generating marks on the target industry tree; performing a rough classification for the target patents by using the marks; performing a fine classification for the target patents according to a result of the rough classification. The automatic industry classification method and system provided by the present invention uses a transductive learning method, so that full mining of small annotation quantity information is realized. The automatic industry classification method and system uses information of IPC, so that information dimension is enriched, and calculation amount needed in the classification is reduced. The automatic industry classification method and system further uses the hierarchical vectors generated by the abstract, the claims and the description, so that the information of word order relation is reserved, and the patent text is deeply mined.

Disclosed is an infotainment system for reproducing DRM content. The infotainment system for reproducing digital rights management (DRM) content of the present disclosure includes a module unit configured to receive the DRM content from a content provider, to reproduce the DRM content, and to convert the reproduced content into an output signal, a vehicle base unit including an interface configured to receive and transmit the output signal, and a display unit configured to display the output signal transmitted through the interface. The infotainment system for reproducing DRM content of the present disclosure has an effect of reproducing DRM content in an in-vehicle infotainment system without breaking laws related thereto.

An evaluation-data acquisition unit acquires evaluation data on a target intellectual property right which is an intellectual property right to be evaluated. A necessity determination unit determines the necessity of the target intellectual property right on which the evaluation data is acquired by the evaluation-data acquisition unit by using an evaluation model that is generated by machine learning using evaluation data on intellectual property rights and determination results on the necessity of the intellectual property rights as training data and that receives input of evaluation data and outputs necessity determination data indicating the necessity.

The present invention is a platform of services and solutions for Freedom to Operate compliance and risk mitigation that is AI-enabled and Blockchain-based. IP analytics lower the cost of IP analysis, answering questions to common and complex use cases, enabling for better decision making. The present invention is a risk mitigation solution that provides guidance in the appropriate next steps and how to document them. The present invention covers all necessary steps, from a request for proposal (RFP) to the final product, through launching a landscaping study in parallel to the RFP to assess patent density and competitive metrics, and executing a Freedom to Operate (FTO) search for component versions to implement potential design-arounds to reduce exposure. The present invention documents all efforts and progress in an encrypted blockchain-based repository that is hashed and time-stamped, and FTO reports are periodically updated to reflect current patent coverage.

One example method includes identifying companies involved in development and/or use of a technology, and identifying the companies includes identifying datasets from which features are to be extracted, wherein each feature comprises an aspect of one of the companies that relates to the technology, and extracting the features from the datasets. Next, the method includes selecting a subset of the identified companies, for each feature assigned to a company in the subset, normalizing a value of the feature relative to respective values of all other features assigned to that company, assigning a weight to each of the features whose value has been normalized, calculating, for each company in the subset, an index value based on the features assigned to that company and the weights assigned to those features, and generating an index that ranks the companies in the subset by their respective index values.