2007 SIMPLEOWLaGenerativeLexiconOnto
- (Toral & Monachini, 2007) ⇒ Antonio Toral, and Monica Monachini. (2007). “SIMPLEOWL: A Generative Lexicon Ontology for NLP and the Semantic Web.” In: Workshop on Cooperative Construction of Linguistic Knowledge Bases (AIIA-2007).
Subject Headings: Lexicalized Ontology
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Abstract
This research deals with the modelling of a Generative Lexicon based ontology to be used in the Semantic Web and Natural Language Processing semantic tasks. This ontology is imported from a existing computational Lexical Resource and is converted to the W3C standard Web Ontology Language. This presents some challenges, as for example the multidimensionality of the original ontology, which are covered in the current paper. The result of this research is an OWL compliant semantically rich and linguistically-based ontology, thus useful to the automatic processing of text within the Semantic Web paradigm. 1
1. Introduction
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On the other hand, ontologies are recognised as an important component in Natural Language Processing (NLP) systems that seek to deal with the semantic level of language. In fact, most, if not all of the semantic lexical resources within the area (e.g. WordNet [3], CYC [4], SIMPLE [5]), have in common the presence of an ontology as a core module. Besides, there is research in progress on applying ontologies to semantic NLP, e.g. [6]. The fact that OWL is the ontology language for the Semantic Web and that it provides a formal semantic representation as well as reasoning capabilities has encouraged the NLP community to convert existing resources to this language. Work in this area includes, for example, the conversion of WordNet [7] and MeSH [8] and, moreover, the proposal of a general method for converting thesauri [9].
The current paper deals with the modelling of a linguistic ontology imported from a computational lexicon into OWL. According to (Guarino et al., 1999), linguistic ontologies offer an immense potential for gathering information from the Web. Moreover, (Dahlgren, 1994) motivates the choice of a linguistic-based ontology for Natural Language Processing. However, these kind of ontologies present some issues and challenges (Hirst, 2004) that need to be taken into account.
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References
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2007 SIMPLEOWLaGenerativeLexiconOnto | Monica Monachini Antonio Toral | SIMPLEOWL: A Generative Lexicon Ontology for NLP and the Semantic Web |