Reasoning with Annotations of Texts
Résumé
Linguistic and semantic annotations are important features for text-based applications. However, achieving and maintaining a good quality of a set of annotations is known to be a complex task. Many ad hoc approaches have been developed to produce various types of annotations, while comparing those annotations to improve their quality is still rare. In this paper, we propose a framework in which both linguistic and domain information can cooperate to reason with annotations. The underlying knowledge representation issues are carefully analyzed and solved by studying a higher order logic, which accounts for the cooperation of different sorts of knowledge. An algorithm, implemented in our prototype, is proposed to reduce this logic to classical description logics by preserving the semantics, which allows us to benefit from cutting-edge Semantic Web reasoners. An application scenario shows interesting merits of this framework on reasoning with annotations of texts.
Domaines
Traitement du texte et du document
Origine : Fichiers produits par l'(les) auteur(s)
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