2010 ASemWebPageLingAnnModel

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Abstract

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 multi-language) annotation model based on EAGLES standards and Ontological Semantics, implemented with last generation Semantic Web languages is being developed to fit the needs of both communities.

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2010 ASemWebPageLingAnnModelGuadalupe Aguado de Cea
Inmaculada Álvarez de Mon
Antonio Pareja-Lora
Rosario Plaza-Arteche
A Semantic Web Page Linguistic Annotation ModelAssociation for the Advancement of Artificial Intelligencehttp://www.cs.vassar.edu/~ide/events/ParejaLora.pdf2010