• DocumentCode
    2458257
  • Title

    Data Management Issues on the Semantic Web

  • Author

    Hassanzadeh, O. ; Kementsietsidis, Anastasios ; Velegrakis, Y.

  • Author_Institution
    Univ. of Toronto, Toronto, ON, Canada
  • fYear
    2012
  • fDate
    1-5 April 2012
  • Firstpage
    1204
  • Lastpage
    1206
  • Abstract
    We provide an overview of the current data management research issues in the context of the Semantic Web. The objective is to introduce the audience into the area of the Semantic Web, and to highlight the fact that the area provides many interesting research opportunities for the data management community. A new model, the Resource Description Framework (RDF), coupled with a new query language, called SPARQL, lead us to revisit some classical data management problems, including efficient storage, query optimization, and data integration. These are problems that the Semantic Web community has only recently started to explore, and therefore the experience and long tradition of the database community can prove valuable. We target both experienced and novice researchers that are looking for a thorough presentation of the area and its key research topics.
  • Keywords
    SQL; data integration; meta data; query processing; semantic Web; RDF; SPARQL; data integration; data management issues; database community; query language; query optimization; resource description framework; semantic web; storage; Communities; Conferences; Data models; Databases; Resource description framework; Semantics; alternative clustering; data mining; disparate clustering; multi-view clustering; subspace clustering;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2012 IEEE 28th International Conference on
  • Conference_Location
    Washington, DC
  • ISSN
    1063-6382
  • Print_ISBN
    978-1-4673-0042-1
  • Type

    conf

  • DOI
    10.1109/ICDE.2012.141
  • Filename
    6228168