DocumentCode :
2336872
Title :
Description Ontologies
Author :
Oro, Ermelinda ; Ruffolo, Massimo
Author_Institution :
DEIS, Univ. of Calabria, Rende
fYear :
2008
fDate :
13-16 Nov. 2008
Firstpage :
369
Lastpage :
374
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.
Keywords :
information retrieval; ontologies (artificial intelligence); vocabulary; concept descriptors; description ontologies; information extraction; semantic annotation; semantic extraction; Data mining; Engines; Information management; Natural languages; Object oriented modeling; Object oriented programming; Ontologies; Pattern recognition; Proposals; Web pages;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Information Management, 2008. ICDIM 2008. Third International Conference on
Conference_Location :
London
Print_ISBN :
978-1-4244-2916-5
Electronic_ISBN :
978-1-4244-2917-2
Type :
conf
DOI :
10.1109/ICDIM.2008.4746710
Filename :
4746710
Link To Document :
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