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Benefits of Natural Language Techniques in Ontology Evaluation : the OOPS! Case

Suarez-Figueroa, Maria Carmen and Kamel, Mouna and Poveda-Villalon, María Benefits of Natural Language Techniques in Ontology Evaluation : the OOPS! Case. (2013) In: Conférence Internationale sur la Terminologie et l'Intelligence Artificielle (TIA), 28 October 2013 - 30 October 2013 (Paris, France).

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Abstract

Natural language techniques play an important role in Ontology Engineering. Developing ontologies in a manual fashion is a complex and time consuming process, which implies the participation of domain experts and ontology engineers to build and evaluate them. Natural language techniques traditionally help to (semi)automatically build ontologies and to populate them. However, the general trends for evaluating ontologies are mainly expert reviewing, evaluating quality dimensions and criteria, and evaluating against existing ontologies and set of common errors. That is, the use of natural language techniques in ontology evaluation is not widely spread. Thus, in this paper we aim at the use of natural language techniques during the ontology evaluation process. In particular, we propose a first attempt towards a language-based enhancement of the pitfall detection process within the ontology evaluation tool OOPS!.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-01152652
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Universidad Politécnica de Madrid (SPAIN)
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Deposited On:15 Apr 2015 14:01

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