Abstract: Systems and methods for generation and use of intellectual-property (IP) landscaping platform architectures are disclosed. A landscaping component may be utilized to produce refined clusters of 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 landscaping component may be further utilized to produce an interactive graphical element including a spatial representation of the clusters of IP assets. The interactive graphical element may include various functionalities and/or information associated with the clusters of IP assets.

Abstract: Disclosed are embodiments that communicate label information for documents between two enterprise computer systems. The two computer systems operate asynchronous from each other, and have limited available resources for use in buffering information passing between them. To that end, traditional API architectures that utilize method calls and return parameters do not operate well in this environment, as a first computer systems resources can become exhausted if a second computer system is able to generate data faster than the first computer system can consume it. The problem is exacerbated if an error is experienced when processing the consumed data, especially if there are no resources available to store the data until the error can be cleared. To solve this problem, the disclosed embodiments provide an ability for a consumer to request that data previously delivered to it be delivered again by the producer, in some embodiments, after a specified time delay.

Abstract: Methods and apparatus for a new approach to the problem of finding communities in complex networks relating to a social definition of communities and percolation are disclosed. Instead of partitioning the graph into separate subgraphs from top to bottom a local algorithm (communities of each vertex) allows overlapping of communities. The performance of an algorithm on synthetic, randomly-generated graphs and real-world networks is used to benchmark this method against others. An heuristic is provided to generate a list of communities for networks using a local community finding algorithm. Unlike diffusion based algorithms, The provided algorithm finds overlapping communities and provides a means to measure confidence in community structure. It features locality and low complexity for exploring the communities for a subset of network nodes, without the need for exploring the whole graph.

Abstract: An electronic marketplace for used digital objects is disclosed. Digital objects including e-books, audio, video, computer applications, etc., may be placed in a personalized data store upon purchase from a merchant. Placement may be manual or occur automatically. A server prompt or downloader application may be used to set preferences for manual or automatic placement. Placement may be direct or indirect. Direct placement occurs upon placement of the digital object in the personalized data store directly by the merchant. Indirect placement occurs upon transfer of the digital object to an intermediate storage location, such as the user's electronic device, then placing the digital object in the personalized data store. The user, via streaming, download, or other transfer, may then access content placed in the personalized data store.

Abstract: In one embodiment a method for probabilistically quantifying a degree of relevance between two or more citationally or contextually related data objects, such as patent documents, non-patent documents, web pages, personal and corporate contacts information, product information, consumer to behavior, technical or scientific information, address information, and the like is provided. In another embodiment a method for visualizing and displaying relevance between two or more citationally or contextually related data objects is provided. In another embodiment a search input/output interface that utilizes an iterative self-organizing mapping technique to automatically generate a visual map of relevant patents and/or other related documents desired to be explored, searched or analyzed is provided.

Abstract: A computer-enabled system, method, and medium is provided to support, e.g., analyzing intellectual property documents by assigning attributes to the documents. The present invention is suitable for use by intellectual property professionals and is flexible to support development and use of customized attribute types and attributes. Optionally, a group of intellectual property documents can be divided into projects, which can be ingested including assigning attributes. Optionally, the attributes can be used to filter information included in e.g., searches, and/or reports.

Abstract: A method and system for the online promotion of intellectual property includes providing an Internet host station with at least one database that is connectable via the Internet to consumer stations and industry stations. The database includes a plurality of intellectual property items and a description of each intellectual property item. At least one of the intellectual property items is selected by a consumer station and the description associated with the selected intellectual property item is viewed at the consumer station. Portions of the description may be confidential and therefore not normally viewed at the consumer station. Feedback data is sent from the consumer station to the host station. The feedback data includes consumer opinion information of the selected intellectual property item based at least in part on the description of the selected intellectual property item.

Abstract: A method and system for the online promotion of intellectual property includes providing an Internet host station with at least one database that is connectable via the Internet to consumer stations and industry stations. The database includes a plurality of intellectual property items and a description of each intellectual property item. At least one of the intellectual property items is selected by a consumer station and the description associated with the selected intellectual property item is viewed at the consumer station. Portions of the description may be confidential and therefore not normally viewed at the consumer station. Feedback data is sent from the consumer station to the host station. The feedback data includes consumer opinion information of the selected intellectual property item based at least in part on the description of the selected intellectual property item.

Abstract: Provided are a system and method of clustering documents. The system includes a document DB, a document feature writing unit storing documents, a document retrieving unit, a clustering unit, and a cluster DB. The document DB stores documents. The document feature writing unit extracts attribute information of documents stored in the document database, and writes indexes with respect to the respective documents on the basis of the attribute information. The document retrieving unit retrieves documents including a query input by a user, using the indexes. The clustering unit includes a representative vector calculator calculating feature vectors and a representative vector of the retrieved documents, and a similarity calculator calculating similarities between the documents using the feature vectors and the representative vector. The cluster database stores documents clustered by the clustering unit.

Abstract: The present invention is related to patent-related tools, and methodologies involving those tools, for assisting in all stages of research and development (R&D) projects. The IPAM server may be used in conjunction with the tools and methodologies to aid in R&D projects. These tools or methods include, but are not limited to, a topographic map, a top company table, a top inventor table, a inventors by company table, a features grouping, a technology classification, a Standard Industrial Codes (SIC) classification, a patent citation tree, a patent count/year, an application count/year, a nested patent citation tree, a product/patent/revenue table, a patent/months to issue chart, and a document/annotation chart.

Abstract: A computer system, method, and storage medium with embedded code automate analysis of validity of patent document claims. In embodiments, the computer system receives an identifier of the patent document and a claim, retrieves text of the patent document, parses the text to identify contextually important key terms of the claim, and then formulates one or more queries that include key terms and a priority date relating to the patent document. The system launches the queries and receives search results. From the results, anticipatory candidate members and obviousness candidate members are determined. If the total number of the members is excessive, the queries are reformulated more restrictively, and the search repeated. The system determines contextual relevance of the members and arranges the members in order of their relevance.

Abstract: A computer-enabled system, method, and medium is provided to support, e.g., analyzing intellectual property documents by assigning attributes to the documents. The present invention is suitable for use by intellectual property professionals and is flexible to support development and use of customized attribute types and attributes. Optionally, a group of intellectual property documents can be divided into projects, which can be ingested including assigning attributes. Optionally, the attributes can be used to filter information included in e.g., searches, and/or reports.

Abstract: A computer system, method, and storage medium with embedded code automate search for products that potentially infringe patents or similar rights of exclusion. The computer system receives an identifier of the patent, retrieves the patent's text, parses the text to identify contextually important terms of a claim, and then formulates queries that include these key terms. The system launches the queries and receives search results. If the number of results is excessive, the queries are reformulated more restrictively. The system determines contextual relevance of the results and arranges the results in order of their relevance.

Abstract: In one embodiment the present invention provides a novel method for probabilistically quantifying a degree of relevance between two or more citationally or contextually related data objects, such as patent documents, non-patent documents, web pages, personal and corporate contacts information, product information, consumer behavior, technical or scientific information, address information, and the like. In another embodiment the present invention provides a novel method for visualizing and displaying relevance between two or more citationally or contextually related data objects. In another embodiment the present invention provides a novel search input/output interface that utilizes an iterative self-organizing mapping (“SOM”) technique to automatically generate a visual map of relevant patents and/or other related documents desired to be explored, searched or analyzed.