Abstract
This paper proposes an approach for automatic domain ontology enrichment based on the semantic component of Lexical Markup Framework (LMF, ISO 24613)-standardized dictionaries. The originality of this research work lies in the use of simple and regularly-structured textual fields disseminated in the definitions and examples of lexical entries, thus facilitating the extraction of concepts and relations candidates. It also lies in exploiting the semantic component of the LMF dictionary in order to guide the extraction of further knowledge from the adopted source. Along with addressing the quality issue which is of a major importance in ontology engineering, the proposed approach has been implemented in a rule-based system, relying on lexicosyntactic patterns for ontology items extraction and applied to a case study in the field of astronomy. The experiment has been carried out on the Arabic language, whose choice is explained both by the great deficiency of research work on the Arabic ontology development and the availability within our research team of an LMF-standardized Arabic dictionary.
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Ben Amar, F.B., Gargouri, B., Ben Hamadou, A. (2013). Domain Ontology Enrichment Based on the Semantic Component of LMF-Standardized Dictionaries. In: Wang, M. (eds) Knowledge Science, Engineering and Management. KSEM 2013. Lecture Notes in Computer Science(), vol 8041. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39787-5_33
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DOI: https://doi.org/10.1007/978-3-642-39787-5_33
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