• DocumentCode
    526115
  • Title

    Adaptation of NLP techniques to cultural heritage research and documentation

  • Author

    Goerz, Guenther ; Scholz, Martin

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Erlangen-Nuremberg, Erlangen, Germany
  • fYear
    2010
  • fDate
    21-24 June 2010
  • Firstpage
    79
  • Lastpage
    84
  • Abstract
    The WissKI system provides a framework for ontology-based science communication and cultural heritage documentation. In many cases, the documentation consists of semi-structured data records with free text fields. Most references in the texts comprise of person and place names, as well as time specifications. We present the WissKI tools for semantic annotation using controlled vocabularies and formal ontologies derived from CIDOC Conceptual Reference Model (CRM). Current research deals with the annotations as building blocks for event recognition. Finally, we outline how the CRM helps to build bridges between documentation in different scientific disciplines.
  • Keywords
    document handling; humanities; natural language processing; ontologies (artificial intelligence); CIDOC conceptual reference model; NLP techniques; WissKI system; cultural heritage documentation; cultural heritage research; ontology based science communication; semantic annotation; Cognition; Cultural differences; Documentation; Ontologies; Semantics; Text analysis; Vocabulary; OWL-DL; SemanticWeb; WissKI; cultural heritage; event recognition; text analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology Interfaces (ITI), 2010 32nd International Conference on
  • Conference_Location
    Cavtat/Dubrovnik
  • ISSN
    1330-1012
  • Print_ISBN
    978-1-4244-5732-8
  • Type

    conf

  • Filename
    5546369