Abstract: An automated data entry system comprising target database servers for storing target database(s), a processing server configured to execute a client-application and configured to store a plurality of data objects including a document schema and a target database schema corresponding to the target database(s), and a client terminal connected to the processing server, configured to: generate a first graphical interface for connection to a target database, and to execute a second graphical interface for connection to the client-application. The processing server may also receive an electronic data file representing an unprocessed document, to associate the unprocessed document with a document schema and extract a data variable based on the document schema, and to generate a database operation comprising the data variable configured according to a target database schema.

Abstract: Computer implemented systems and methods are disclosed for annotating and linking electronic documents. In accordance with some embodiments, annotations assigned to source electronic documents are received and snippets are generated from the received annotations. The generated snippets are aggregated into clusters, which are used to generate an electronic document. Links between the snippets and their respective source documents may be generated and embedded in the generated electronic document.

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: 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: Disclosed are a system and a method for analyzing and utilizing intellectual property information.

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 system, method, computer program product, and a web site for evaluating a patent document by using an Artificial Intelligence (AI) have been provided. The patent document is characterized by patent indices arranged into a hierarchy, each index reflecting a different aspect of the patent document. The values of the patent indices are analyzed by an Artificial Intelligence (AI) system, which generates a verbal conclusion regarding the value of the patent document based on the performed analysis. A reason associated with the generated conclusion may also be generated. The AI system is a decision tree based AI system, which is implemented so as to be accessible via a network. The value of the patent document may be additionally visualized by using a color coding of the patent document based on values of its patent indices.

Abstract: System, methods, computer program product, and web site for evaluating a patent document have been disclosed. The patent document is characterized by patent indices arranged into a hierarchy, each index reflecting a different aspect of the patent document. The indices are transformed into an integral Patent Quality index of the patent document according to a non-linear transformation, which satisfies certain predetermined rules and boundary conditions. A bias associated with an expert, influencing the evaluation of a patent is taken into account. A corresponding method for determining a monetary value of the patent document is also described. The system for patent evaluation comprises a Patent Quality and Monetary Value processing unit for implementing the methods, and respective input and output data means, including graphical user interface.

Abstract: A method for evaluating a patent document is described, which includes the steps of introducing a set of one or more patent indices, characterizing different aspects of the patent document; combining said patent indices into a Patent Quality index (the PQ), characterizing value of the patent document; and visualizing the value of the patent document by using a color coding of the patent document according to the value of the PQ index. Conveniently, a correspondence between the value of the Patent Quality index of the patent document and the wavelength of a selected color of a visible part of the light spectrum is provided. A corresponding method and system for visualizing results of evaluation of a patent portfolio are also described.

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 to 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.

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-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: 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: A statistical patent rating method and system is provided for independently assessing the relative breadth (“B”), defensibility (“D”) and commercial relevance (“R”) of individual patent assets and other intangible intellectual property assets. The invention provides new and valuable information that can be used by patent valuation experts, investment advisors, economists and others to help guide future patent investment decisions, licensing programs, patent appraisals, tax valuations, transfer pricing, economic forecasting and planning, and even mediation and/or settlement of patent litigation lawsuits. In one embodiment the invention provides a statistically-based patent rating method and system whereby relative ratings or rankings are generated using a database of patent information by identifying and comparing various characteristics of each individual patent to a statistically determined distribution of the same characteristics within a given patent population.

Abstract: Method and apparatus for inserting digital tracers in data that allow particular copies of the data to be traced to particular entities. Embodiments of a tracer mechanism may programmatically insert individualized tracers into data copies provided to third parties, for example via a Web service interface. A tracer may appear as normal data to the reader, and does not interfere with the typical use of the data copy. Tracers may serve as unique identifiers for particular data copies provided to particular Web service clients, allowing instances of the data copies to be associated with particular Web service clients. Embodiments may, for example, allow an enterprise to programmatically and systematically track copies of data distributed to third parties to help insure that the terms and conditions of licensing agreements are not violated. In one embodiment, the tracer mechanism may be implemented as a Web service.

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: 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.