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Communication Dans Un Congrès Année : 2011

Reasoning with Annotations of Texts

Yue Ma
François Lévy
Sudeep Ghimire
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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.
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Dates et versions

hal-00581556 , version 1 (13-04-2011)
hal-00581556 , version 2 (14-09-2011)

Identifiants

  • HAL Id : hal-00581556 , version 2

Citer

Yue Ma, François Lévy, Sudeep Ghimire. Reasoning with Annotations of Texts. The 24th Florida Artificial Intelligence Research Society Conference (FLAIRS-24), May 2011, United States. pp.192-197. ⟨hal-00581556v2⟩
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