Semantic Relation Modeling and Representation for Problem-Solving Ontology-based Linguistic Resources: Issues and Proposals

Francisco Alvarez, Antonio Vaquero, Fernando Sáenz, Manuel de Buenaga

Abstract

Semantic relations are an important element in the construction of ontologies and models of problem domains. Nevertheless, they remain under-specified. This is a pervasive problem in Software Engineering and Artificial Intelligence. Consequently, we find semantic links that can have multiple interpretations in ontologies that support information systems, semantic data models with abstractions that are not enough to capture the relation richness of problem domains, and improperly structured taxonomies. However, if provided with precise semantics, some of these problems can be avoided, and meaningful operations can be performed on them. In this paper we present some insightful issues about the modeling and representation of semantic relations that include the available taxonomy structuring methodologies as well as the initiatives aiming to provide relations with precise semantics. Furthermore, we explain and propose the notion of control and verification of relations as a means to properly structure ontologies.

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Paper Citation


in Harvard Style

Alvarez F., Vaquero A., Sáenz F. and de Buenaga M. (2007). Semantic Relation Modeling and Representation for Problem-Solving Ontology-based Linguistic Resources: Issues and Proposals . In Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2007) ISBN 978-972-8865-97-9, pages 59-70. DOI: 10.5220/0002422700590070


in Bibtex Style

@conference{nlpcs07,
author={Francisco Alvarez and Antonio Vaquero and Fernando Sáenz and Manuel de Buenaga},
title={Semantic Relation Modeling and Representation for Problem-Solving Ontology-based Linguistic Resources: Issues and Proposals},
booktitle={Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2007)},
year={2007},
pages={59-70},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002422700590070},
isbn={978-972-8865-97-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 4th International Workshop on Natural Language Processing and Cognitive Science - Volume 1: NLPCS, (ICEIS 2007)
TI - Semantic Relation Modeling and Representation for Problem-Solving Ontology-based Linguistic Resources: Issues and Proposals
SN - 978-972-8865-97-9
AU - Alvarez F.
AU - Vaquero A.
AU - Sáenz F.
AU - de Buenaga M.
PY - 2007
SP - 59
EP - 70
DO - 10.5220/0002422700590070