Patents by Inventor Vladimir V. Zelevinsky
Vladimir V. Zelevinsky has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 10585886Abstract: Systems and methods for information retrieval are provided that permit users and/or processing entities to access and define synthetic data, synthetic objects, and/or synthetic groupings of data in one or more collections of information. In one embodiment, data access on an information retrieval system can occur through an interpretation layer which interprets any synthetic data against data physically stored in the collection. Synthetic data can define virtual data objects, virtual data elements, virtual data attributes, virtual data groupings, and/or data entities that can be interpreted against data that may be stored physically in the collection of information. The system and methods for information retrieval can return results from the one or more collections of information based not only on the data stored, but also on the virtual data generated from interpretation of the stored data.Type: GrantFiled: March 19, 2019Date of Patent: March 10, 2020Assignee: Oracle International CorporationInventors: Adam J. Ferrari, Joshua William Kapell, Jason Furtado, Matthew L. Brandwein, Spiro Michaylov, Omri Traub, Vladimir V. Zelevinsky, John Huffaker
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Publication number: 20190213189Abstract: Systems and methods for information retrieval are provided that permit users and/or processing entities to access and define synthetic data, synthetic objects, and/or synthetic groupings of data in one or more collections of information. In one embodiment, data access on an information retrieval system can occur through an interpretation layer which interprets any synthetic data against data physically stored in the collection. Synthetic data can define virtual data objects, virtual data elements, virtual data attributes, virtual data groupings, and/or data entities that can be interpreted against data that may be stored physically in the collection of information. The system and methods for information retrieval can return results from the one or more collections of information based not only on the data stored, but also on the virtual data generated from interpretation of the stored data.Type: ApplicationFiled: March 19, 2019Publication date: July 11, 2019Inventors: Adam J. FERRARI, Joshua William KAPELL, Jason FURTADO, Matthew L. BRANDWEIN, Spiro MICHAYLOV, Omri TRAUB, Vladimir V. ZELEVINSKY, John HUFFAKER
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Patent number: 8935249Abstract: A system for visualizing concepts within a collection of information analyzes a set of materials from at least one collection of information and defines an attribute space associated with the set of materials. The system then determines automatically similarity of members of the attribute space. The system then generates a graphical model of the members of the attribute space, where the generating includes generating a display of the members of the attribute space, each of the members having a respective display distance from other respective members of the attribute space reflective of the determined similarity.Type: GrantFiled: July 10, 2012Date of Patent: January 13, 2015Assignee: Oracle OTC Subsidiary LLCInventors: Omri Traub, Ray Kuo, Vladimir Gluzman Peregrine, Vladimir V. Zelevinsky
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Patent number: 8676802Abstract: Methods and systems that enable searching with clustering in information access systems are described. The methods of clustering operate on a collection of materials wherein each item in the collection may be associated with one or more properties. An original subset of materials is selected from the collection and relevant properties associated with the subset of materials are clustered into property clusters. Each property cluster generally contains properties that are more similar to each other than to properties in a different property cluster. The property clusters can be used to respond to the query. A mapping function can be used to identify a set of materials that correspond to each property cluster based on the associations between individual items and properties. The property clusters can also be used for iterative query refinement.Type: GrantFiled: November 30, 2006Date of Patent: March 18, 2014Assignee: Oracle OTC Subsidiary LLCInventors: Vladimir V. Zelevinsky, Daniel Tunkelang, Frederick C. Knabe, Michael Y. Saji, Velin Krassimirov Tzanov
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Patent number: 8560529Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: July 25, 2011Date of Patent: October 15, 2013Assignee: Oracle OTC Subsidiary LLCInventors: Daniel Tunkelang, Joyce Jeanpin Wang, Vladimir V. Zelevinsky
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Patent number: 8527515Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: GrantFiled: November 7, 2011Date of Patent: September 3, 2013Assignee: Oracle OTC Subsidiary LLCInventors: Vladimir V. Zelevinsky, Omri Traub, Vladimir Gluzman Peregrine, Daniel Tunkelang, Joyce Jeanpin Wang
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Publication number: 20120278321Abstract: A system for visualizing concepts within a collection of information analyzes a set of materials from at least one collection of information and defines an attribute space associated with the set of materials. The system then determines automatically similarity of members of the attribute space. The system then generates a graphical model of the members of the attribute space, where the generating includes generating a display of the members of the attribute space, each of the members having a respective display distance from other respective members of the attribute space reflective of the determined similarity.Type: ApplicationFiled: July 10, 2012Publication date: November 1, 2012Applicant: ORACLE INTERNATIONAL CORPORATIONInventors: Omri TRAUB, Ray KUO, Vladimir GLUZMAN PEREGRINE, Vladimir V. ZELEVINSKY
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Publication number: 20120124032Abstract: Systems and methods are described that calculate the interestingness of a set of one or more records in a database, either absolutely (i.e., compared to an overall collection of records) or relative to some other set of records. In one embodiment, the measure is a relative entropy value that has been normalized. Various applications of the measure are described in the context of an information retrieval system. These applications include, for example, guiding query interpretation, guiding view selection and summarization, intelligent ranges, event detection, concept triggers and interpreting user actions, hierarchy discovery, and adaptive data mining.Type: ApplicationFiled: November 7, 2011Publication date: May 17, 2012Inventors: Vladimir V. Zelevinsky, Omri Traub, Vladimir Gluzman Peregrine, Daniel Tunkelang, Joyce Jeanpin Wang
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Publication number: 20080133479Abstract: Methods and systems that enable searching with clustering in information access systems are described. The methods of clustering operate on a collection of materials wherein each item in the collection may be associated with one or more properties. An original subset of materials is selected from the collection and relevant properties associated with the subset of materials are clustered into property clusters. Each property cluster generally contains properties that are more similar to each other than to properties in a different property cluster. The property clusters can be used to respond to the query. A mapping function can be used to identify a set of materials that correspond to each property cluster based on the associations between individual items and properties. The property clusters can also be used for iterative query refinement.Type: ApplicationFiled: November 30, 2006Publication date: June 5, 2008Applicant: Endeca Technologies, Inc.Inventors: Vladimir V. Zelevinsky, Daniel Tunkelang, Frederick C. Knabe, Michael Y. Saji, Velin K. Tzanov