Patents by Inventor Carsten Tusk
Carsten Tusk 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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Publication number: 20140365463Abstract: A system for modular image mining and search, comprising a plurality of image capture devices, a search engine, an indexing engine, a database, and user interface software. A plurality of image capture devices capture images and store them to a database. The indexing engine indexes images to create image data for each image with associated metadata and stores the information to the database. The interface software is used to request search queries via a search engine. The search engine accesses the image data to find images or parts of images that satisfy the search query.Type: ApplicationFiled: November 27, 2013Publication date: December 11, 2014Inventor: Carsten Tusk
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Patent number: 8856096Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches.Type: GrantFiled: November 16, 2006Date of Patent: October 7, 2014Assignee: VCVC III LLCInventors: Giovanni B. Marchisio, Navdeep S. Dhillon, Carsten Tusk, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Matthew E. Brown
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Publication number: 20140142922Abstract: Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.Type: ApplicationFiled: July 17, 2013Publication date: May 22, 2014Inventors: Jisheng Liang, Krzysztof Koperski, Navdeep S. Dhillon, Carsten Tusk, Satish Bhatti
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Patent number: 8594996Abstract: Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.Type: GrantFiled: October 15, 2008Date of Patent: November 26, 2013Assignee: Evri Inc.Inventors: Jisheng Liang, Krzysztof Koperski, Navdeep S. Dhillon, Carsten Tusk, Satish Bhatti
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Patent number: 8131540Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: GrantFiled: March 10, 2009Date of Patent: March 6, 2012Assignee: Evri, Inc.Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Patent number: 7953593Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: GrantFiled: March 10, 2009Date of Patent: May 31, 2011Assignee: Evri, Inc.Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Publication number: 20090271179Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: ApplicationFiled: March 10, 2009Publication date: October 29, 2009Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Publication number: 20090182738Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: ApplicationFiled: March 10, 2009Publication date: July 16, 2009Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Publication number: 20090144609Abstract: Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.Type: ApplicationFiled: October 15, 2008Publication date: June 4, 2009Inventors: Jisheng Liang, Krzysztof Koperski, Navdeep S. Dhillon, Carsten Tusk, Satish Bhatti
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Patent number: 7526425Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: GrantFiled: December 13, 2004Date of Patent: April 28, 2009Assignee: Evri Inc.Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman, Matthew E. Brown
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Publication number: 20090019020Abstract: Methods, systems, and techniques for creating, managing, and using query templates to facilitate the execution of relationship queries are provided. Example embodiments provide a Query Template System “QTS”, which enables users, a system, program code, or other people or code to define search tips (i.e., predefined searches) through the generation of query templates that can be used by other users or code, to perform relationship searches using IQL. In one embodiment, the QTS includes a QT editor, a QT dispatcher, a QT creation and index management system, and one or more QT data repositories and indexes. These components cooperate to create and maintain query templates and to search for and retrieve matching query templates. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: March 14, 2008Publication date: January 15, 2009Inventors: Navdeep S. Dhillon, Jonathan D. Reichhold, Carsten Tusk
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Patent number: 7398201Abstract: Methods and systems for syntactically indexing and searching data sets to achieve more accurate search results and for indexing and searching data sets using entity tags alone or in combination therewith are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set, as well as processes natural language queries subsequently submitted against the data set. The SQE comprises a Query Preprocessor, a Data Set Preprocessor, a Query Builder, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface. After preprocessing the data set, the SQE parses the data set according to a variety of levels of parsing and determines as appropriate the entity tags and syntactic and grammatical roles of each term to generate enhanced data representations for each object in the data set. The SQE indexes and stores these enhanced data representations in the data set repository.Type: GrantFiled: February 19, 2003Date of Patent: July 8, 2008Assignee: Evri Inc.Inventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Alejandro Murua, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman
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Publication number: 20070156669Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.Type: ApplicationFiled: November 16, 2006Publication date: July 5, 2007Inventors: Giovanni Marchisio, Navdeep Dhillon, Carsten Tusk, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Matthew Brown
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Publication number: 20050267871Abstract: Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. In one embodiment, the SQE comprises a Query Processor, a Data Set Preprocessor, a Keyword Search Engine, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface or an application programming interface.Type: ApplicationFiled: December 13, 2004Publication date: December 1, 2005Applicant: Insightful CorporationInventors: Giovanni Marchisio, Krzysztof Koperski, Jisheng Liang, Thien Nguyen, Carsten Tusk, Navdeep Dhillon, Lubos Pochman, Matthew Brown
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Publication number: 20030233224Abstract: Methods and systems for syntactically indexing and searching data sets to achieve more accurate search results and for indexing and searching data sets using entity tags alone or in combination therewith are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set, as well as processes natural language queries subsequently submitted against the data set. The SQE comprises a Query Preprocessor, a Data Set Preprocessor, a Query Builder, a Data Set Indexer, an Enhanced Natural Language Parser (“ENLP”), a data set repository, and, in some embodiments, a user interface. After preprocessing the data set, the SQE parses the data set according to a variety of levels of parsing and determines as appropriate the entity tags and syntactic and grammatical roles of each term to generate enhanced data representations for each object in the data set. The SQE indexes and stores these enhanced data representations in the data set repository.Type: ApplicationFiled: February 19, 2003Publication date: December 18, 2003Applicant: Insightful CorporationInventors: Giovanni B. Marchisio, Krzysztof Koperski, Jisheng Liang, Alejandro Murua, Thien Nguyen, Carsten Tusk, Navdeep S. Dhillon, Lubos Pochman