The GOLD Community of Practice: an infrastructure for linguistic data on the Web.

The GOLD Community of Practice is proposed as a model for linking on-line linguistic data to an ontology. The key components of the model include the linguistic data resources themselves and those focused on the knowledge derived from data. Data resources include the ever-increasing amount of lingui...

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Publicado en:Language Resources & Evaluation Vol. 41; no. 1; pp. 45 - 61
Autores principales: Farrar, Scott, Lewis, William D.
Formato: Artículo
Publicado: Springer Nature Feb2007
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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          Farrar, Scott
          Lewis, William D.
        affil:
          University of Washington, Seattle, WA, USA
          California State University Fresno, Fresno, CA, USA
      su:
        Ontology
        Linguistic analysis
        Semantic Web
        Linguistics
        Methodology
      sug:
        subj:
          Ontology
          Linguistic analysis
          Semantic Web
          Linguistics
          Methodology
      keyword:
        Best practice
        Descriptive linguistics
        Markup
        Smart search
      ab: The GOLD Community of Practice is proposed as a model for linking on-line linguistic data to an ontology. The key components of the model include the linguistic data resources themselves and those focused on the knowledge derived from data. Data resources include the ever-increasing amount of linguistic field data and other descriptive language resources being migrated to the Web. The knowledge resources capture generalizations about the data and are anchored in the General Ontology for Linguistic Description (GOLD). It is argued that such a model is in the spirit of the vision for a Semantic Web and, thus, provides a concrete methodology for rendering highly divergent resources semantically interoperable. The focus of this work, then, is not on annotation at the syntactic level, but rather on how annotated Web resources can be linked to an ontology. Furthermore, a methodology is given for creating specific communities of practice within the overall Web infrastructure for linguistics. Finally, ontology-driven search is discussed as a key application of the proposed model.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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