Patents by Inventor Rajdeep S. Dua

Rajdeep S. Dua 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: 7979455
    Abstract: RDF store database designs and efficient techniques for converting SPARQL queries to SQL queries are described that provide faster triplet access, and which can reduce the computational overhead and cost associated with storing large volumes of RDF metadata. In various embodiments RDF data can be stored in de-normalized tables tailored to provide efficient query and storage performance. The provided query conversion techniques provide reliable and efficient query performance.
    Type: Grant
    Filed: November 26, 2007
    Date of Patent: July 12, 2011
    Assignee: Microsoft Corporation
    Inventors: Karthick Krishnamoorthy, Raman Kumar, Rajdeep S. Dua
  • Patent number: 7818352
    Abstract: RDF store database designs and efficient techniques for converting SPARQL queries to SQL queries are described that provide faster triplet access, and which can reduce the computational overhead and cost associated with storing large volumes of RDF metadata. In various embodiments RDF data can be stored in de-normalized tables tailored to provide efficient query and storage performance. The provided query conversion techniques provide reliable and efficient query performance.
    Type: Grant
    Filed: November 26, 2007
    Date of Patent: October 19, 2010
    Assignee: Microsoft Corporation
    Inventors: Karthick Krishnamoorthy, Raman Kumar, Rajdeep S. Dua
  • Publication number: 20090138498
    Abstract: RDF store database designs and efficient techniques for converting SPARQL queries to SQL queries are described that provide faster triplet access, and which can reduce the computational overhead and cost associated with storing large volumes of RDF metadata. In various embodiments RDF data can be stored in de-normalized tables tailored to provide efficient query and storage performance. The provided query conversion techniques provide reliable and efficient query performance.
    Type: Application
    Filed: November 26, 2007
    Publication date: May 28, 2009
    Applicant: Microsoft Corporation
    Inventors: Karthick Krishnamoorthy, Raman Kumar, Rajdeep S. Dua
  • Publication number: 20090138437
    Abstract: RDF store database designs and efficient techniques for converting SPARQL queries to SQL queries are described that provide faster triplet access, and which can reduce the computational overhead and cost associated with storing large volumes of RDF metadata. In various embodiments RDF data can be stored in de-normalized tables tailored to provide efficient query and storage performance. The provided query conversion techniques provide reliable and efficient query performance.
    Type: Application
    Filed: November 26, 2007
    Publication date: May 28, 2009
    Applicant: MICROSOFT CORPORATION
    Inventors: Karthick Krishnamoorthy, Raman Kumar, Rajdeep S. Dua