Patents by Inventor David Bigwood

David Bigwood 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).

  • Patent number: 11347804
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Grant
    Filed: April 29, 2019
    Date of Patent: May 31, 2022
    Assignee: ObjectStore, Inc.
    Inventors: Colin P. Britton, Ashok Kumar, David Bigwood, Anthony J. DeFusco, Howard Greenblatt
  • Publication number: 20190258680
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Application
    Filed: April 29, 2019
    Publication date: August 22, 2019
    Applicant: ObjectStore, Inc.
    Inventors: Colin P. Britton, Ashok Kumar, David Bigwood, Anthony J. DeFusco, Howard Greenblatt
  • Patent number: 10275540
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Grant
    Filed: December 1, 2016
    Date of Patent: April 30, 2019
    Assignee: ObjectStore, Inc.
    Inventors: Colin P. Britton, Ashok Kumar, David Bigwood, Anthony J. DeFusco, Howard Greenblatt
  • Publication number: 20170083634
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Application
    Filed: December 1, 2016
    Publication date: March 23, 2017
    Applicant: ObjectStore, Inc.
    Inventors: Colin P. Britton, Ashok Kumar, David Bigwood, Anthony J. DeFusco, Howard Greenblatt
  • Patent number: 9529937
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Grant
    Filed: March 27, 2013
    Date of Patent: December 27, 2016
    Assignee: ObjectStore, Inc.
    Inventors: Colin P. Britton, Ashok Kumar, David Bigwood, Anthony J. DeFusco, Howard Greenblatt
  • Patent number: 8412720
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Grant
    Filed: October 29, 2007
    Date of Patent: April 2, 2013
    Inventors: Colin P. Britton, Ashok Kumar, David Bigwood, Anthony J. DeFusco, Howard Greenblatt
  • Patent number: 7640239
    Abstract: The invention provides methods for enterprise business visibility that transform any of marketing, e-commerce and transactional from a plurality of legacy and other databases into resource description framework (RDF) syntax. This information can be time-stamped (e.g., with expiration dates) and stored in a central data store. Answers to queries are discerned by applying genetic algorithm-based search techniques to the holographic store, with the confidence levels of those answers is based in part, for example, on the time-stamps of the triples.
    Type: Grant
    Filed: January 4, 2005
    Date of Patent: December 29, 2009
    Assignee: Metatomix, Inc.
    Inventors: Colin P. Britton, Amir Azmi, Ashok Kumar, Noah W. Kaufman, Chandra Bajpai, Robert F. Angelo, David A. Bigwood
  • Patent number: 7613712
    Abstract: The invention provides methods for identifying related data in a directed graph (e.g., an RDF data set). A “first” in step—though the steps are not necessarily executed in sequential order—includes identifying (or marking) as related data expressly satisfying the criteria. A “second” step includes identifying as related ancestors of any data identified as related, e.g., in the first step, unless that ancestor conflicts with the criteria. A “third” step of the method is identifying descendents of any data identified, e.g., in the prior steps, unless that descendent conflicts with the criteria or has a certain relationship with the ancestor from which it descends. The methods generates, e.g., as output, an indication of each of the nodes identified as related in the three steps.
    Type: Grant
    Filed: October 7, 2005
    Date of Patent: November 3, 2009
    Assignee: Metatomix, Inc.
    Inventors: Howard Greenblatt, Alan Greenblatt, David A. Bigwood, Colin P. Britton
  • Publication number: 20080109420
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Application
    Filed: October 29, 2007
    Publication date: May 8, 2008
    Applicant: METATOMIX, INC.
    Inventors: Colin Britton, Ashok Kumar, David Bigwood, Anthony DeFusco, Howard Greenblatt
  • Patent number: 7318055
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Grant
    Filed: April 6, 2005
    Date of Patent: January 8, 2008
    Assignee: Metatomix, Inc.
    Inventors: Colin P. Britton, Ashok Kumar, David A. Bigwood, Anthony J. DeFusco, Howard Greenblatt
  • Patent number: 7302440
    Abstract: The invention provides methods of time-wise data reduction that include the steps of inputting data from a source; summarizing that data according to one or more selected epochs in which it belongs; and generating for each such selected epoch one or more RDF triples characterizing the summarized data. The data source may be, for example, a database, a data stream or otherwise. The selected epoch may be a second, minute, hour, week, month, year, or so forth. The triples may be output in the form of RDF document objects. These can be stored, for example, in a hierarchical data store such as, for example, a WebDAV server. Triples parsed from the document objects may be maintained in a relational store that is organized, for example, according to a hashed with origin approach.
    Type: Grant
    Filed: November 21, 2002
    Date of Patent: November 27, 2007
    Assignee: Metatomix, Inc.
    Inventors: Colin P. Britton, Ashok Kumar, David Bigwood, Howard Greenblatt
  • Publication number: 20070198454
    Abstract: The invention provides methods for identifying related data in a directed graph (e.g., an RDF data set). A “first” in step—though the steps are not necessarily executed in sequential order—includes identifying (or marking) as related data expressly satisfying the criteria. A “second” step includes identifying as related ancestors of any data identified as related, e.g., in the first step, unless that ancestor conflicts with the criteria. A “third” step of the method is identifying descendents of any data identified, e.g., in the prior steps, unless that descendent conflicts with the criteria or has a certain relationship with the ancestor from which it descends. The methods generates, e.g., as output, an indication of each of the nodes identified as related in the three steps.
    Type: Application
    Filed: October 7, 2005
    Publication date: August 23, 2007
    Applicant: METATOMIX, INC.
    Inventors: Howard Greenblatt, Alan Greenblatt, David Bigwood, Colin Britton
  • Publication number: 20060036620
    Abstract: The invention provides, in one aspect, a method for visualizing relationships among triples of an RDF data set. The method, which can be used with a data set already in RDF form or converted thereto (e.g., from relational, hierarchical or other form), includes the steps of grouping subjects of at least selected ones of the triples based on commonality of at least portions of the identifiers of those subjects. It further includes grouping, for at least a selected subject groups, objects based on commonality of at least portions of identifiers of the predicates of those triples. Icons representing the subject and object groups can be displayed, e.g., on a computer monitor, or otherwise. A related aspect of the invention provides the additional step of displaying icons, e.g., directed arrows, indicating relationships among icons that represent subject group and icons that represent object groups.
    Type: Application
    Filed: August 8, 2005
    Publication date: February 16, 2006
    Applicant: METATOMIX, INC.
    Inventors: David Bigwood, Colin Britton, Alan Greenblatt, Howard Greenblatt
  • Publication number: 20050228805
    Abstract: The invention provides methods for enterprise business visibility that transform any of marketing, e-commerce and transactional from a plurality of legacy and other databases into resource description framework (RDF) syntax. This information can be time-stamped (e.g., with expiration dates) and stored in a central data store. Answers to queries are discerned by applying genetic algorithm-based search techniques to the holographic store, with the confidence levels of those answers is based in part, for example, on the time-stamps of the triples.
    Type: Application
    Filed: January 4, 2005
    Publication date: October 13, 2005
    Inventors: Colin Britton, Amir Azmi, Ashok Kumar, Noah Kaufman, Chandra Bajpai, Robert Angelo, David Bigwood
  • Patent number: 6954749
    Abstract: The invention provides methods for identifying related data in a directed graph (e.g., an RDF data set). A “first” step—though the steps are not necessarily executed in sequential order—includes identifying (or marking) as related data expressly satisfying the criteria. A “second” step includes identifying as related ancestors of any data identified as related, e.g., in the first step, unless that ancestor conflicts with the criteria. A “third” step of the method is identifying descendents of any data identified, e.g., in the prior steps, unless that descendent conflicts with the criteria or has a certain relationship with the ancestor from which it descends. The methods generates, e.g., as output, an indication of each of the nodes identified as related in the three steps.
    Type: Grant
    Filed: October 7, 2003
    Date of Patent: October 11, 2005
    Assignee: Metatomix, Inc.
    Inventors: Howard Greenblatt, Alan Greenblatt, David A. Bigwood, Colin P. Britton
  • Publication number: 20050187926
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Application
    Filed: April 6, 2005
    Publication date: August 25, 2005
    Inventors: Colin Britton, Ashok Kumar, David Bigwood, Anthony DeFusco, Howard Greenblatt
  • Patent number: 6925457
    Abstract: The invention provides, in one aspect, a method of searching an RDF triples data store of the type in which the triples are maintained in accord with a first storage schema. The method includes inputting a first query specifying RDF triples that are to be identified in the data store. That first query assumes either (i) that the triples are stored in a schema-less manner (i.e., with no storage schema) or (ii) that the triples are maintained in accord with a second storage schema that differs from the first. The method further includes generating, from the first query, a second query that specifies those same RDF triples, yet, that reflects the first storage schema. That second query can be applied to the RDF triples data store in order to identify and/or retrieve the desired data.
    Type: Grant
    Filed: November 21, 2002
    Date of Patent: August 2, 2005
    Assignee: Metatomix, Inc.
    Inventors: Colin P. Britton, Ashok Kumar, David Bigwood, Anthony J. DeFusco, Howard Greenblatt
  • Patent number: 6856992
    Abstract: The invention provides methods for enterprise business visibility that transform any of marketing, e-commerce and transactional from a plurality of legacy and other databases into resource description framework (RDF) syntax. This information can be time-stamped (e.g., with expiration dates) and stored in a central data store. Answers to queries are discerned by applying genetic algorithm-based search techniques to the holographic store, with the confidence levels of those answers is based in part, for example, on the time-stamps of the triples.
    Type: Grant
    Filed: October 29, 2001
    Date of Patent: February 15, 2005
    Assignee: Metatomix, Inc.
    Inventors: Colin P. Britton, Amir Azmi, Ashok Kumar, Noah W. Kaufman, Chandra Bajpai, Robert F. Angelo, David Bigwood
  • Publication number: 20040073545
    Abstract: The invention provides methods for identifying related data in a directed graph (e.g., an RDF data set). A “first” step—though the steps are not necessarily executed in sequential order—includes identifying (or marking) as related data expressly satisfying the criteria. A “second” step includes identifying as related ancestors of any data identified as related, e.g., in the first step, unless that ancestor conflicts with the criteria. A “third” step of the method is identifying descendents of any data identified, e.g., in the prior steps, unless that descendent conflicts with the criteria or has a certain relationship with the ancestor from which it descends. The methods generates, e.g., as output, an indication of each of the nodes identified as related in the three steps.
    Type: Application
    Filed: October 7, 2003
    Publication date: April 15, 2004
    Inventors: Howard Greenblatt, Alan Greenblatt, David A. Bigwood, Colin P. Britton
  • Publication number: 20030208499
    Abstract: The invention provides, in one aspect, a method for visualizing relationships among triples of an RDF data set. The method, which can be used with a data set already in RDF form or converted thereto (e.g., from relational, hierarchical or other form), includes the steps of grouping subjects of at least selected ones of the triples based on commonality of at least portions of the identifiers of those subjects. It further includes grouping, for at least a selected subject groups, objects based on commonality of at least portions of identifiers of the predicates of those triples. Icons representing the subject and object groups can be displayed, e.g., on a computer monitor, or otherwise. A related aspect of the invention provides the additional step of displaying icons, e.g., directed arrows, indicating relationships among icons that represent subject group and icons that represent object groups.
    Type: Application
    Filed: May 3, 2002
    Publication date: November 6, 2003
    Inventors: David Bigwood, Colin P. Britton, Alan Greenblatt, Howard Greenblatt