rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Web information retrieval
  title info: title
  name:
    name part: Stefano Ceri
  type of resource: text
  origin info:
    place:
      place term: xx
    place:
      place term: New York
    publisher: Springer
    date issued: 2013
    date issued: 9999
    issuance: monographic
  language:
    language term: und
  language:
    language term: eng
  physical description:
    form: print
    extent: xiv, 284 p.
    extent: ill.
    extent: 24 cm
  abstract: With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years. Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fast access to Web-based information; and searching capabilities are now integrated into most information systems, ranging from business management software and customer relationship systems to social networks and mobile phone applications
  note: Stefano Ceri ... [et al.]
  subject:
    topic: Information retrieval; World Wide Web; Artificial intelligence; Computer science
  classification: 25.04
  classification: W200
  identifier: 3642393136
  identifier: 9783642393136
  record info:
    record creation date: 210423
    record identifier: TVU_20710