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Authors: Nabil Baklouti ; Bilel Gargouri and Mohamed Jmaiel

Affiliation: University of Sfax, Tunisia

Keyword(s): Linguistic Web Service, Non-functional NLP Properties, Semantic Web, Ontology, OWL-S.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Paradigm Trends ; Service Discovery, Selection and Replacement ; Service Modeling Approaches ; Services ; Services Applications ; Software Engineering

Abstract: This paper deals with the enhancing of LinguisticWeb Service (LingWS) description. It proposes an extension for the OWL-S approach and a Natural Language Processing (NLP) domain ontology based on linguistic standards. The proposed extension provides a classification of the Non-functional NLP properties which promotes the representation of their relationships. The extended OWL-S description is linked to the NLP domain ontology to semantically annotate the LingWS properties.

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Paper citation in several formats:
Baklouti, N.; Gargouri, B. and Jmaiel, M. (2012). Enhancing Linguistic Web Service Description with Non-functional NLP Properties. In Proceedings of the 7th International Conference on Software Paradigm Trends - ICSOFT; ISBN 978-989-8565-19-8; ISSN 2184-2833, SciTePress, pages 439-444. DOI: 10.5220/0004080604390444

@conference{icsoft12,
author={Nabil Baklouti. and Bilel Gargouri. and Mohamed Jmaiel.},
title={Enhancing Linguistic Web Service Description with Non-functional NLP Properties},
booktitle={Proceedings of the 7th International Conference on Software Paradigm Trends - ICSOFT},
year={2012},
pages={439-444},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004080604390444},
isbn={978-989-8565-19-8},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Software Paradigm Trends - ICSOFT
TI - Enhancing Linguistic Web Service Description with Non-functional NLP Properties
SN - 978-989-8565-19-8
IS - 2184-2833
AU - Baklouti, N.
AU - Gargouri, B.
AU - Jmaiel, M.
PY - 2012
SP - 439
EP - 444
DO - 10.5220/0004080604390444
PB - SciTePress