RDF(S)/XML Linguistic Annotation of Semantic Web Pages

نویسندگان

  • Guadalupe Aguado de Cea
  • Inmaculada Álvarez de Mon y Rego
  • Antonio Pareja-Lora
  • Rosario Plaza-Arteche
چکیده

Although with the Semantic Web initiative much research on web page semantic annotation has already been done by AI researchers, linguistic text annotation, including the semantic one, was originally developed in Corpus Linguistics and its results have been somehow neglected by AI. The purpose of the research presented in this proposal is to prove that integration of results in both fields is not only possible, but also highly useful in order to make Semantic Web pages more machine-readable. A multi-level (possibly multi-purpose and multilanguage) annotation model based on EAGLES standards and Ontological Semantics, implemented with last generation Semantic Web languages (RDF(S)/XML) is being developed to fit the needs of both communities; the present paper focuses on its semantic level.

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تاریخ انتشار 2002