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