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: Genres on the Web
    sub title: Computational Models and Empirical Studies
  name:
    name part: Mehler, Alexander.
    role:
      role term: editor.
  name:
    name part: Sharoff, Serge.
    role:
      role term: editor.
  name:
    name part: Santini, Marina.
    role:
      role term: editor.
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  origin info:
    place:
      place term: ne
    date issued: 2011
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: electronic
    form: electronic resource
    reformatting quality: access
    form: remote
    extent: XIV, 362 p. online resource.
  abstract: The volume “Genres on the Web” has been designed for a wide audience, from the expert to the novice. It is a required book for scholars, researchers and students who want to become acquainted with the latest theoretical, empirical and computational advances in the expanding field of web genre research. The study of web genre is an overarching and interdisciplinary novel area of research that spans from corpus linguistics, computational linguistics, NLP, and text-technology, to web mining, webometrics, social network analysis and information studies. This book gives readers a thorough grounding in the latest research on web genres and emerging document types. The book covers a wide range of web-genre focussed subjects, such as: • The identification of the sources of web genres • Automatic web genre identification • The presentation of structure-oriented models • Empirical case studies One of the driving forces behind genre research is the idea of a genre-sensitive information system, which incorporates genre cues complementing the current keyword-based search and retrieval applications.
  note: edited by Alexander Mehler, Serge Sharoff, Marina Santini.
  subject:
    topic: Computer science
  subject:
    topic: Computational linguistics
  subject:
    topic: Computer Science
  subject:
    topic: Language Translation and Linguistics
  subject:
    topic: Computational Linguistics
  classification: P98-98.5
  classification: 006.35
  related item:
    title info:
      title: Springer eBooks
  related item:
    title info:
      title: Text, Speech and Language Technology, 42
  identifier: 9789048191789
  identifier: http://dx.doi.org/10.1007/978-90-481-9178-9
  record info:
    record creation date: 101013
    record change date: 20151103124733.0
    record identifier: 978-90-481-9178-9