Described herein are techniques and systems for retrieval of content using link-based searches. Embodiments herein include receiving, by a server, a request including a hyperlink directed to a source content. The server may determine whether a database associated with the server comprises the hyperlink. The database stores information of multiple entities each corresponding to one or more hyperlinks. In response to a determination that the database includes the hyperlink, the server may identify an entity corresponding to the hyperlink and provide information of the entity to the computing device. In some embodiments, in response to a determination that the database does not include the hyperlink, the server may identify related web content and return results to user.

A system and method which assesses for stakeholders or ownership holders in intangible property (such as patent owners, licensees, lien holders, fractional-ownership holders, etc.) is disclosed, which utilize tokens such as NFTs (non-fungible tokens) to represent ownership of unique stakes in intellectual property. NFTs lend themselves to trading via any single or multiple blockchains and/or databases (for example, an Ethereum blockchain), whereby stakeholders are provided assurance that such intangibles have clear title and relative valuation, are not subject to potential adverse proceedings, and/or are valid and enforceable. The invention may use a blockchain for accessing data a way to insure marketable title with certain valuation as to the tokenized intellectual property right for trading, taking into account ownership and control variables, including fractional interests. potential joint inventorship and other encumbrances. The invention may be used to transparently facilitate pricing and trading of any stake associated with tokenized intellectual property internationally.

Musical catalog amplification services that leverage or deploy a computer-based musical composition system are described. The computer-based musical composition system employs algorithms and, optionally, artificial intelligence to generate new music based on analyses of existing music. The new music may be wholly distinctive from, or may include musical variations of, the existing music. Rights in the new music generated by the computer-based musical composition system are granted to the rights holder(s) of the existing music. In this way, the musical catalog(s) of the rights holder(s) is/are amplified to include additional music assets. The computer-based musical composition system may be tuned so that the new music sounds more like, or less like, the existing music of the rights holder(s). Revenues generated from the new music are shared between the musical catalog amplification service provider and the rights holder(s).

An intellectual property (IP) recommending method and an IP recommending system are provided. In the method, a plurality of IP portfolios respectively designated for a plurality of product designs are retrieved and usage data of a plurality of IPs included in each of the plurality of IP portfolios are extracted. A machine learning (ML) model is trained by using a portion of the retrieved IP portfolios and the extracted usage data. In response to receiving at least one criterion for a desired product design from a user, a plurality of IPs adapted for the desired product design are predicted based on the ML model and recommended for the user.

Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.

Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.

Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.

Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.

Systems and methods for generation and use of intellectual-property (IP) analysis platform architectures are disclosed. A scoring component may be utilized to produce scores for IP assets using user seeded searches in varying areas of interest, such as, for example, target technical fields, targeted publications, targeted products, and/or competitor entity portfolios. The scoring component may be further utilized to produce an interactive graphical element including a spatial representation of the scoring of IP assets. The interactive graphical element may include various functionalities and/or information associated with the of IP assets. The scoring component may utilize data from a coverage component, an opportunity component and/or an exposure component to assess a comprehensive score associated with a group of IP assets of a targeted entity.

A system and method for extrapolating a set of specific representational identifiers that are represented or covered by a generic representational identifier found in a target document. Queries are constructed and performed on a corpus of source documents in which members of the extrapolated set of specific representational identifiers are compared to a database of representational data. By matching representational data in this way, any overlap between the generic representational data and specific instances of the generic representational identifier within the source documents is determined. In a more specific implementation, the system and method reduces the scope of the generic representational identifier such that the reduced scope generic representational identifier encompasses only novel specific representational identifiers.