The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
LMF Dictionary-Based Approach for Domain Ontology Generation
Abstract
In this chapter, the authors propose an approach for generating domain ontologies from LMF standardized dictionaries (ISO-24613). It consists, firstly, of deriving the target ontology core systematically from the explicit information of the LMF dictionary structure. Secondly, it aims at enriching such a core, taking advantage of textual sources with guided semantic fields available in the definitions and the examples of lexical entries. The originality of this work lies not only in the use of a unique and finely-structured source containing multi-domain and lexical knowledge of morphological, syntactic, and semantic levels, lending itself to ontological interpretations, but also in providing ontological elements with linguistic grounding. In addition, the proposed approach has addressed the quality issue that is of a major importance in ontology engineering. They have integrated a validation stage along with the extraction modules in order to maintain the consistency of the generated ontologies. Furthermore, the proposed approach was applied to a case study in the field of astronomy and the experiment has been carried out on the Arabic language. This choice is explained both by the great deficiency of work on Arabic ontology development and the availability within the research team of an LMF standardized Arabic dictionary.
Related Content
|
Murray Eugene Jennex.
© 2020.
29 pages.
|
|
Ronald John Lofaro.
© 2020.
18 pages.
|
|
Mark E. Nissen.
© 2020.
23 pages.
|
|
Ronel Davel, Adeline S. A. Du Toit, Martie Mearns.
© 2020.
32 pages.
|
|
Murray Eugene Jennex.
© 2020.
23 pages.
|
|
Michael J. Zhang.
© 2020.
21 pages.
|
|
Toshali Dey, Susmita Mukhopadhyay.
© 2020.
23 pages.
|
|
|