Patents by Inventor Alex Gilman
Alex Gilman 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: 9317593Abstract: In one embodiment, modeling topics includes accessing a corpus comprising documents that include words. Words of a document are selected as keywords of the document. The documents are clustered according to the keywords to yield clusters, where each cluster corresponds to a topic. A statistical distribution is generated for a cluster from words of the documents of the cluster. A topic is modeled using the statistical distribution generated for the cluster corresponding to the topic.Type: GrantFiled: October 1, 2008Date of Patent: April 19, 2016Assignee: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler, John J. Sidorowich, Yannis Labrou
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Patent number: 9081852Abstract: In one embodiment, a set of target search terms for a search is received. Candidate terms are selected, where a candidate term is selected to reduce an ontology space of the search. The candidate terms are sent to a computer to recommend the candidate terms as search terms. In another embodiment, a document stored in one or more tangible media is accessed. A set of target tags for the document is received. Terms are selected, where a term is selected to reduce an ontology space of the document. The terms are sent to a computer to recommend the terms as tags.Type: GrantFiled: October 1, 2008Date of Patent: July 14, 2015Assignee: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler, John J. Sidorowich, Albert Reinhardt, Yannis Labrou
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Publication number: 20150120238Abstract: According to an aspect of an embodiment, a method of monitoring utilization of an adjustable workstation includes automatically tracking a state of the adjustable workstation over time. The method further includes storing the state of the adjustable workstation over time across multiple selected arrangements of the adjustable workstation.Type: ApplicationFiled: October 24, 2013Publication date: April 30, 2015Applicant: FUJITSU LIMITEDInventors: David L. MARVIT, Ajay CHANDER, Jawahar JAIN, Alex GILMAN
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Publication number: 20150120377Abstract: According to an aspect of an embodiment, a method of measuring efficacy of an ergonomic intervention includes tracking a utilization of the ergonomic intervention over time and storing the utilization of the ergonomic intervention over time. The method further includes tracking a state of a user of the ergonomic intervention over time and storing the state of the user over time. The method further includes calculating an efficacy measurement based at least in part on the utilization of the ergonomic intervention over time and the state of the user over time.Type: ApplicationFiled: October 24, 2013Publication date: April 30, 2015Applicant: FUJITSU LIMITEDInventors: David L MARVIT, Ajay CHANDER, Jawahar JAIN, Alex GILMAN
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Publication number: 20140067801Abstract: A method of geotagging based on specified criteria is described. The method may include analyzing a data stream indicating a variable parameter associated with an object to determine data within the data stream satisfying a specified criteria. The method may also include obtaining geospatial information for the object or another object corresponding to a time the data was generated. Relevant data collected at the time the data satisfies the specified criteria may be tagged with the geospatial information. Related systems are also described.Type: ApplicationFiled: August 31, 2012Publication date: March 6, 2014Applicant: FUJITSU LIMITEDInventors: David L. MARVIT, Jawahar JAIN, Ajay CHANDER, Alex GILMAN
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Patent number: 8332439Abstract: In certain embodiments, generating a hierarchy of terms includes accessing a corpus comprising terms. The following is performed for one or more terms to yield parent-child relationships: one or more parent terms of a term are identified according to directional affinity; and one or more parent-child relationships are established from the parent terms and each term. A hierarchical graph is automatically generated from the parent-child relationships.Type: GrantFiled: October 1, 2008Date of Patent: December 11, 2012Assignee: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler
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Patent number: 8280892Abstract: In one embodiment, assigning tags to a document includes accessing the document, where the document comprises text units that include words. The following is performed for each text unit: a subset of words of a text unit is selected as candidate tags, relatedness is established among the candidate tags, and certain candidate tags are selected according to the established relatedness to yield a candidate tag set for the text unit. Relatedness between the candidate tags of each candidate tag set and the candidate tags of other candidate tag sets is determined. At least one candidate tag is assigned to the document according to the determined relatedness.Type: GrantFiled: October 1, 2008Date of Patent: October 2, 2012Assignee: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler, John J. Sidorowich, Yannis Labrou
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Patent number: 8108392Abstract: In one embodiment, identifying clusters of words includes accessing a record that records affinities. An affinity between a first and second word describes a quantitative relationship between the first and second word. Clusters of words are identified according to the affinities. A cluster comprises words that are sufficiently affine with each other. A first word is sufficiently affine with a second word if the affinity between the first and second word satisfies one or more affinity criteria. A clustering analysis is performed using the clusters.Type: GrantFiled: October 1, 2008Date of Patent: January 31, 2012Assignee: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler, John J. Sidorowich
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Publication number: 20090094207Abstract: In one embodiment, identifying clusters of words includes accessing a record that records affinities. An affinity between a first and second word describes a quantitative relationship between the first and second word. Clusters of words are identified according to the affinities. A cluster comprises words that are sufficiently affine with each other. A first word is sufficiently affine with a second word if the affinity between the first and second word satisfies one or more affinity criteria. A clustering analysis is performed using the clusters.Type: ApplicationFiled: October 1, 2008Publication date: April 9, 2009Applicant: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler, John J. Sidorowich
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Publication number: 20090094231Abstract: In one embodiment, assigning tags to a document includes accessing the document, where the document comprises text units that include words. The following is performed for each text unit: a subset of words of a text unit is selected as candidate tags, relatedness is established among the candidate tags, and certain candidate tags are selected according to the established relatedness to yield a candidate tag set for the text unit. Relatedness between the candidate tags of each candidate tag set and the candidate tags of other candidate tag sets is determined. At least one candidate tag is assigned to the document according to the determined relatedness.Type: ApplicationFiled: October 1, 2008Publication date: April 9, 2009Applicant: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler, John J. Sidorowich, Yannis Labrou
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Publication number: 20090094020Abstract: In one embodiment, a set of target search terms for a search is received. Candidate terms are selected, where a candidate term is selected to reduce an ontology space of the search. The candidate terms are to a computer to recommend the candidate terms as search terms. In another embodiment, a document stored in one or more tangible media is accessed. A set of target tags for the document is received. Terms are selected, where a term is selected to reduce an ontology space of the document. The terms are sent to a computer to recommend the terms as tags.Type: ApplicationFiled: October 1, 2008Publication date: April 9, 2009Applicant: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler, John J. Sidorowich, Albert Reinhardt, Yannis Labrou
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Publication number: 20090094208Abstract: In certain embodiments, generating a hierarchy of terms includes accessing a corpus comprising terms. The following is performed for one or more terms to yield parent-child relationships: one or more parent terms of a term are identified according to directional affinity; and one or more parent-child relationships are established from the parent terms and each term. A hierarchical graph is automatically generated from the parent-child relationships.Type: ApplicationFiled: October 1, 2008Publication date: April 9, 2009Applicant: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler
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Publication number: 20090094233Abstract: In one embodiment, modeling topics includes accessing a corpus comprising documents that include words. Words of a document are selected as keywords of the document. The documents are clustered according to the keywords to yield clusters, where each cluster corresponds to a topic. A statistical distribution is generated for a cluster from words of the documents of the cluster. A topic is modeled using the statistical distribution generated for the cluster corresponding to the topic.Type: ApplicationFiled: October 1, 2008Publication date: April 9, 2009Applicant: Fujitsu LimitedInventors: David L. Marvit, Jawahar Jain, Stergios Stergiou, Alex Gilman, B. Thomas Adler, John J. Sidorowich, Yannis Labrou