Patents by Inventor Carl Wimmer
Carl Wimmer 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: 11216520Abstract: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.Type: GrantFiled: October 29, 2019Date of Patent: January 4, 2022Inventors: Mark Bobick, Carl Wimmer
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Patent number: 11113304Abstract: Text is extracted from and information resource such as documents, emails, relational database tables and other digitized information sources. The extracted text is processed using a decomposition function to create. Nodes are a particular data structure that stores elemental units of information. The nodes can convey meaning because they relate a subject term or phrase to an attribute term or phrase. Removed from the node data structure, the node contents are or can become a text fragment which conveys meaning, i.e., a note. The notes generated from each digital resource are associated with the digital resource from which they are captured. The notes are then stored, organized and presented in several ways which facilitate knowledge acquisition and utilization by a user.Type: GrantFiled: April 3, 2018Date of Patent: September 7, 2021Inventors: Mark Bobick, Carl Wimmer
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Publication number: 20200065344Abstract: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.Type: ApplicationFiled: October 29, 2019Publication date: February 27, 2020Inventors: MARK BOBICK, CARL WIMMER
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Patent number: 10496722Abstract: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.Type: GrantFiled: November 30, 2017Date of Patent: December 3, 2019Assignee: MAKE SENCE, INC.Inventors: Mark Bobick, Carl Wimmer
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Patent number: 10467297Abstract: Techniques for identifying knowledge use an graphical user interface for inputting one or more terms to be explored for additional knowledge. Then a search is conducted across one or more sources of information to identify resources containing information about or information associated with said terms. The resources are decomposed into elemental units of information and stored in a data structures called nodes. A group of nodes are stored in a node pool and, from the node pool, correlations of nodes are constructed that represent knowledge.Type: GrantFiled: April 11, 2016Date of Patent: November 5, 2019Assignee: MAKE SENCE, INC.Inventors: Mark Bobick, Carl Wimmer
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Publication number: 20190079983Abstract: Text is extracted from and information resource such as documents, emails, relational database tables and other digitized information sources. The extracted text is processed using a decomposition function to create. Nodes are a particular data structure that stores elemental units of information. The nodes can convey meaning because they relate a subject term or phrase to an attribute term or phrase. Removed from the node data structure, the node contents are or can become a text fragment which conveys meaning, i.e., a note. The notes generated from each digital resource are associated with the digital resource from which they are captured. The notes are then stored, organized and presented in several ways which facilitate knowledge acquisition and utilization by a user.Type: ApplicationFiled: April 3, 2018Publication date: March 14, 2019Inventors: Mark BOBICK, Carl WIMMER
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Publication number: 20180307764Abstract: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.Type: ApplicationFiled: November 30, 2017Publication date: October 25, 2018Inventors: MARK BOBICK, CARL WIMMER
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Publication number: 20170147666Abstract: Text is extracted from and information resource such as documents, emails, relational database tables and other digitized information sources. The extracted text is processed using a decomposition function to create. Nodes are a particular data structure that stores elemental units of information. The nodes can convey meaning because they relate a subject term or phrase to an attribute term or phrase. Removed from the node data structure, the node contents are or can become a text fragment which conveys meaning, i.e., a note. The notes generated from each digital resource are associated with the digital resource from which they are captured. The notes are then stored, organized and presented in several ways which facilitate knowledge acquisition and utilization by a user.Type: ApplicationFiled: December 10, 2015Publication date: May 25, 2017Inventors: Mark BOBICK, Carl WIMMER
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Publication number: 20170039290Abstract: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.Type: ApplicationFiled: October 24, 2016Publication date: February 9, 2017Inventors: MARK BOBICK, CARL WIMMER
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Patent number: 9477766Abstract: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.Type: GrantFiled: November 24, 2014Date of Patent: October 25, 2016Assignee: MAKE SENCE, INC.Inventors: Mark Bobick, Carl Wimmer
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Publication number: 20160224669Abstract: Techniques for identifying knowledge use an graphical user interface for inputting one or more terms to be explored for additional knowledge. Then a search is conducted across one or more sources of information to identify resources containing information about or information associated with said terms. The resources are decomposed into elemental units of information and stored in a data structures called nodes. A group of nodes are stored in a node pool and, from the node pool, correlations of nodes are constructed that represent knowledge.Type: ApplicationFiled: April 11, 2016Publication date: August 4, 2016Inventors: Mark BOBICK, Carl WIMMER
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Patent number: 9330175Abstract: Techniques for identifying knowledge use a graphical user interface for inputting one or more terms to be explored for additional knowledge. Then a search is conducted across one or more sources of information to identify resources containing information about or information associated with said terms. The resources are decomposed into elemental units of information and stored in a data structures called nodes. A group of nodes are stored in a node pool and, from the node pool, correlations of nodes are constructed that represent knowledge using information about relation types. Information about relations types is determined using a relation classifier.Type: GrantFiled: February 1, 2012Date of Patent: May 3, 2016Assignee: MAKE SENCE, INC.Inventors: Mark Bobick, Carl Wimmer
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Patent number: 9311601Abstract: Techniques for identifying knowledge use an graphical user interface for inputting one or more terms to be explored for additional knowledge. Then a search is conducted across one or more sources of information to identify resources containing information about or information associated with said terms. The resources are decomposed into elemental units of information and stored in a data structures called nodes. A group of nodes are stored in a node pool and, from the node pool, correlations of nodes are constructed that represent knowledge.Type: GrantFiled: December 14, 2011Date of Patent: April 12, 2016Assignee: MAKE SENCE, INC.Inventors: Mark Bobick, Carl Wimmer
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Publication number: 20160092528Abstract: Text is extracted from and information resource such as documents, emails, relational database tables and other digitized information sources. The extracted text is processed using a decomposition function to create. Nodes are a particular data structure that stores elemental units of information. The nodes can convey meaning because they relate a subject term or phrase to an attribute term or phrase. Removed from the node data structure, the node contents are or can become a text fragment which conveys meaning, i.e., a note. The notes generated from each digital resource are associated with the digital resource from which they are captured. The notes are then stored, organized and presented in several ways which facilitate knowledge acquisition and utilization by a user.Type: ApplicationFiled: December 10, 2015Publication date: March 31, 2016Inventors: Mark BOBICK, Carl WIMMER
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Patent number: 9213689Abstract: Text is extracted from and information resource such as documents, emails, relational database tables and other digitized information sources. The extracted text is processed using a decomposition function to create. Nodes are a particular data structure that stores elemental units of information. The nodes can convey meaning because they relate a subject term or phrase to an attribute term or phrase. Removed from the node data structure, the node contents are or can become a text fragment which conveys meaning, i.e., a note. The notes generated from each digital resource are associated with the digital resource from which they are captured. The notes are then stored, organized and presented in several ways which facilitate knowledge acquisition and utilization by a user.Type: GrantFiled: September 6, 2011Date of Patent: December 15, 2015Assignee: MAKE SENCE, INC.Inventors: Mark Bobick, Carl Wimmer
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Publication number: 20150302094Abstract: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.Type: ApplicationFiled: November 24, 2014Publication date: October 22, 2015Applicant: Make Sence, Inc.Inventors: Mark BOBICK, Carl WIMMER
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Patent number: 8898134Abstract: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.Type: GrantFiled: February 21, 2012Date of Patent: November 25, 2014Assignee: Make Sence, Inc.Inventors: Mark Bobick, Carl Wimmer
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Publication number: 20140279971Abstract: A method for processing textual resources may include decomposing the textual resources into a sequence of textual fragments, and searching the sequence of textual fragments for a match to a relational pattern including first and second tokens, and a word based relational bond therebetween. The searching may include searching each textual fragment of the sequence of textual fragments for a match to the word based relational bond, and when a given textual fragment matches the word based relational bond, determining whether the given textual fragment also matches the first and second tokens. The method may include when the given textual fragment also matches the first and second tokens, generating a node having the first and second tokens and the word based relational bond therebetween, and storing the node in a node pool.Type: ApplicationFiled: March 14, 2014Publication date: September 18, 2014Applicant: MAKE SENCE, INC.Inventors: Mark BOBICK, Carl Wimmer
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Publication number: 20120150835Abstract: An improved search engine creates correlations linking terms from inputs provided by a user to selected target terms. The correlation search process receives pre-processed inputs from a user including a wide variety of input formats including keywords, phrases, sentences, concepts, compound queries, complex queries and orthogonal queries. The pre-processing also includes pre-processing of general digital information objects and static or dynamic generation of questions. After a correlation search of the information presented by the pre-processing, the search results are processed in novel ways to provide an improved relevance ranking of results.Type: ApplicationFiled: February 21, 2012Publication date: June 14, 2012Applicant: Make Sence, Inc.Inventors: Mark Bobick, Carl Wimmer
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Publication number: 20120136863Abstract: Techniques for identifying knowledge use a graphical user interface for inputting one or more terms to be explored for additional knowledge. Then a search is conducted across one or more sources of information to identify resources containing information about or information associated with said terms. The resources are decomposed into elemental units of information and stored in a data structures called nodes. A group of nodes are stored in a node pool and, from the node pool, correlations of nodes are constructed that represent knowledge using information about relation types. Information about relations types is determined using a relation classifier.Type: ApplicationFiled: February 1, 2012Publication date: May 31, 2012Applicant: Make Sence, Inc.Inventors: Mark Bobick, Carl Wimmer