• DocumentCode
    1498936
  • Title

    The Emerging Web of Linked Data

  • Author

    Bizer, Christian

  • Author_Institution
    Web-based Syst. Group, Freie Univ. Berlin, Berlin, Germany
  • Volume
    24
  • Issue
    5
  • fYear
    2009
  • Firstpage
    87
  • Lastpage
    92
  • Abstract
    The paper discusses the semantic Web and Linked Data. The classic World Wide Web is built upon the idea of setting hyperlinks between Web documents. These hyperlinks are the basis for navigating and crawling the Web.Technologically, the core idea of Linked Data is to use HTTP URLs not only to identify Web documents, but also to identify arbitrary real world entities.Data about these entities is represented using the Resource Description Framework (RDF). Whenever a Web client resolves one of these URLs, the corresponding Web server provides an RDF/ XML or RDFa description of the identified entity. These descriptions can contain links to entities described by other data sources.The Web of Linked Data can be seen as an additional layer that is tightly interwoven with the classic document Web. The author mentions the application of Linked Data in media, publications, life sciences, geographic data, user-generated content, and cross-domain data sources. The paper concludes by stating that the Web has succeeded as a single global information space that has dramatically changed the way we use information, disrupted business models, and led to profound societal change.
  • Keywords
    hypermedia; semantic Web; World Wide Web; cross-domain data sources application; geographic data application; hyperlinks; life science application; linked data; media application; publication application; resource description framework; semantic Web; user-generated content application; Databases; Information retrieval; Intelligent systems; Joining processes; Mashups; Resource description framework; Runtime; Space technology; Vocabulary; Web server; Semantic Web; Web of Linked Data; linked data;
  • fLanguage
    English
  • Journal_Title
    Intelligent Systems, IEEE
  • Publisher
    ieee
  • ISSN
    1541-1672
  • Type

    jour

  • DOI
    10.1109/MIS.2009.102
  • Filename
    5286174