Semantic annotation and information extraction are of paramount importance in the field of unstructured information management. Although several sophisticated and indeed complex approaches were proposed, they still have many limitations. In this paper we present a novel ontological paradigm called Description Ontology in which objects and classes (concepts) can be equipped by a set of rules named Concept Descriptors. These rules represent patterns that express how to automatically recognize ontology concepts within unstructured documents. A Description Ontology allows the semantic extraction of information from unstructured document which, in turn, can be stored in structured forms. Moreover, document contents can also be annotated with respect to the recognized concepts. © 2008 IEEE.

Description ontologies

Oro E.
Primo
;
2008

Abstract

Semantic annotation and information extraction are of paramount importance in the field of unstructured information management. Although several sophisticated and indeed complex approaches were proposed, they still have many limitations. In this paper we present a novel ontological paradigm called Description Ontology in which objects and classes (concepts) can be equipped by a set of rules named Concept Descriptors. These rules represent patterns that express how to automatically recognize ontology concepts within unstructured documents. A Description Ontology allows the semantic extraction of information from unstructured document which, in turn, can be stored in structured forms. Moreover, document contents can also be annotated with respect to the recognized concepts. © 2008 IEEE.
2008
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Semantic annotation
information extraction
Ontology
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/560142
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