Results of Taxonomic Evaluation of RDF(S) and DAML+OIL Ontologies using RDF(S (2003)
| Venue: | and DAML+OIL Validation Tools and Ontology Platforms Import Services, II ISWC Workshop on Evaluation of Ontology-based Tools, EON2003, CEUR Workshop Proc. Vol 87 |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Gómez-pérez03resultsof,
author = {Asunción Gómez-pérez and M. Carmen Suárez-figueroa and Laboratorio De Inteligencia Artificial and Facultad De Informática},
title = {Results of Taxonomic Evaluation of RDF(S) and DAML+OIL Ontologies using RDF(S},
booktitle = {and DAML+OIL Validation Tools and Ontology Platforms Import Services, II ISWC Workshop on Evaluation of Ontology-based Tools, EON2003, CEUR Workshop Proc. Vol 87},
year = {2003},
pages = {13--26}
}
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Abstract
Abstract. Before using RDF(S) and DAML+OIL ontologies in Semantic Web applications, its content should be evaluated from a knowledge representation point of view. In recent years, some RDF(S) and DAML+OIL ‘checkers’, ‘validators’, and ‘parsers ’ have been created and several ontology platforms are able to import RDF(S) and DAML+OIL ontologies. Two are the experiments presented in this paper. The first one reveals that the majority of RDF(S) and DAML+OIL parsers (Validating RDF Parser, RDF Validation Service, DAML Validator, and DAML+OIL Ontology Checker) do not detect taxonomic mistakes in ontologies implemented in such languages. So, if such ontologies are imported by ontology platforms, are they able to detect such problems? The second experiment presented in this paper reveals that the majority of the ontology platforms (OilEd, OntoEdit, Protégé-2000, and WebODE) only detect a few of mistakes in concept taxonomies before importing them. 1
