• DocumentCode
    140997
  • Title

    Linked Data query processing

  • Author

    Hartig, Olaf ; Ozsu, M. Tamer

  • Author_Institution
    Cheriton Sch. of Comput. Sci., Univ. of WaterlooWaterloo, Waterloo, ON, Canada
  • fYear
    2014
  • fDate
    March 31 2014-April 4 2014
  • Firstpage
    1286
  • Lastpage
    1289
  • Abstract
    The publication of Linked Open Data on the Web has gained tremendous momentum over the last six years. As a consequence, we currently witness the emergence of a new research area that focuses on an online execution of Linked Data queries; i.e., declarative queries that range over Web data that is made available using the Linked Data publishing principles. These principles only require Web servers that respond to simple requests for data about given entities. Therefore, in contrast to approaches for querying a more traditional distributed database, Linked Data query processing approaches cannot assume that data sources provide query processing functionality. Additional challenges are the unbounded nature of the Web and the lack of a complete, up-to-date database catalog that lists all data sources. Our tutorial provides an overview of the new area of Linked Data query processing. We introduce the foundations of Linked Data queries, discuss the specific challenges that need to be addressed, and review techniques for executing such queries.
  • Keywords
    Internet; data handling; query processing; Linked Data publishing principles; Linked Data query processing; Linked Open Data; Web data; database catalog; declarative queries; distributed database; Indexes; Query processing; Resource description framework; Semantics; Tutorials; World Wide Web;
  • 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.2014.6816762
  • Filename
    6816762