• DocumentCode
    140976
  • Title

    GQBE: Querying knowledge graphs by example entity tuples

  • Author

    Jayaram, Nandish ; Gupta, Madhu ; Khan, Ajmal ; Chengkai Li ; Xifeng Yan ; Elmasri, Ramez

  • Author_Institution
    Univ. of Texas at Arlington, Arlington, TX, USA
  • fYear
    2014
  • fDate
    March 31 2014-April 4 2014
  • Firstpage
    1250
  • Lastpage
    1253
  • Abstract
    We present GQBE, a system that presents a simple and intuitive mechanism to query large knowledge graphs. Answers to tasks such as “list university professors who have designed some programming languages and also won an award in Computer Science” are best found in knowledge graphs that record entities and their relationships. Real-world knowledge graphs are difficult to use due to their sheer size and complexity and the challenging task of writing complex structured graph queries. Toward better usability of query systems over knowledge graphs, GQBE allows users to query knowledge graphs by example entity tuples without writing complex queries. In this demo we present: 1) a detailed description of the various features and user-friendly GUI of GQBE, 2) a brief description of the system architecture, and 3) a demonstration scenario that we intend to show the audience.
  • Keywords
    graph theory; graphical user interfaces; query processing; GQBE; complex structured graph queries; example entity tuples; knowledge graph querying; query system usability; real-world knowledge graphs; system architecture; user-friendly GUI; Awards activities; Computers; Educational institutions; Lattices; Relational databases; Writing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2014 IEEE 30th International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/ICDE.2014.6816753
  • Filename
    6816753