Abdul H Quamar

age ~52

from Morgan Hill, CA

Abdul Quamar Phones & Addresses

  • 15540 La Pala Ct, Morgan Hill, CA 95037
  • San Jose, CA
  • Redmond, WA
  • Hyattsville, MD
  • College Park, MD
  • Raleigh, NC

Us Patents

  • Reducing Response Time For Queries Directed To Domain-Specific Knowledge Graph Using Property Graph Schema Optimization

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  • US Patent:
    20210263898, Aug 26, 2021
  • Filed:
    Feb 25, 2020
  • Appl. No.:
    16/800392
  • Inventors:
    - Armonk NY, US
    ABDUL QUAMAR - SAN JOSE CA, US
    VASILIS EFTHYMIOU - SAN JOSE CA, US
    FATMA OZCAN - SAN JOSE CA, US
    RANA ALOTAIBI - LA JOLLA CA, US
  • International Classification:
    G06F 16/21
    G06F 16/901
    G06F 16/2453
    G06N 5/02
  • Abstract:
    According to one or more embodiments of the present invention, a computer-implemented method for providing a query response includes receiving, by a computing device, a domain-specific knowledge graph. The method further includes generating a first property graph schema, a property graph schema includes vertices, edges, and properties of the domain-specific knowledge graph, wherein the first property graph schema is generated based on an ontology of the domain-specific knowledge graph. The method further includes generating a second property graph schema from a copy of the first property graph schema that is optimized by applying one or more types of relationships in the first property graph schema. The method further includes instantiating a property graph using the second property graph schema. The method further includes receiving a query to obtain particular data from the domain-specific knowledge graph. The method further includes responding to the query using the property graph.
  • Rich Entities For Knowledge Bases

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  • US Patent:
    20180253653, Sep 6, 2018
  • Filed:
    Mar 3, 2017
  • Appl. No.:
    15/449802
  • Inventors:
    - Armonk NY, US
    Abdul H. Quamar - San Jose CA, US
    Konstantinos Xirogiannopoulos - College Park MD, US
  • International Classification:
    G06N 5/02
    G06F 17/30
  • Abstract:
    A computer program product, according to one embodiment, includes a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to: identify, by the processor, key concepts in a domain ontology, and use, by the processor, the key concepts to create a rich entity. Identifying the key concepts includes performing centrality analysis of concepts extracted from the domain ontology. Other systems, methods, and computer program products are described in additional embodiments.
  • High Performance Query Processing And Data Analytics

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  • US Patent:
    20170286485, Oct 5, 2017
  • Filed:
    Mar 30, 2016
  • Appl. No.:
    15/085468
  • Inventors:
    - Redmond WA, US
    Raul Castro Fernandez - Cambridge MA, US
    Abdul H. Quamar - San Jose CA, US
    Ahmed Eldawy - Saint Paul MN, US
    Jonathan D. Goldstein - Woodinville WA, US
  • International Classification:
    G06F 17/30
  • Abstract:
    High performance query processing and data analytics can be performed across architecturally diverse scales, such as single core, multi-core and/or multi-nodes. The high performance query processing and data analytics can include a separation of query computation, keying data, and data movement and parallel computation, thereby enhancing the capabilities of the query processing and data analytics, while allowing the specification of complex forms of data parallel computation that may execute across real-time and offline. The decoupling of data movement and parallel computation, as described herein can improve query processing and data analytics speed, can provide for the optimization of searches in a plurality of computing environments, and can provide the ability to search through a larger space of execution plans.
  • Deterministic Progressive Big Data Analytics

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  • US Patent:
    20140372438, Dec 18, 2014
  • Filed:
    Jun 12, 2013
  • Appl. No.:
    13/915632
  • Inventors:
    - Redmond WA, US
    Jonathan Goldstein - Redmond WA, US
    Abdul Hussain Quamar - Hyattsville MD, US
  • International Classification:
    G06F 17/30
  • US Classification:
    707737, 707736
  • Abstract:
    A plurality of data items that are annotated with progress markers may be obtained. The progress markers may indicate progress points associated with atemporal processing progress of the respective data items. Deterministic, massively parallel, progressive processing may be initiated on the plurality of data items on a plurality of devices, the progress markers indicating which of the plurality of data items are to be incorporated into results of the progressive processing, the progress markers further indicating an ordering for incorporation of the respective data items into the results.

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