A semi automatic annotation approach for ontological and terminological knowledge acquisition

Driss Sadoun


Abstract
We propose a semi-automatic method for the acquisition of specialised ontological and terminological knowledge. An ontology and a terminology are automatically built from domain experts’ annotations. The ontology formalizes the common and shared conceptual vocabulary of those experts. Its associated terminology defines a glossary linking annotated terms to their semantic categories. These two resources evolve incrementally and are used for an automatic annotation of a new corpus at each iteration. The annotated corpus concerns the evaluation of French higher education and science institutions.
Anthology ID:
W16-4713
Volume:
Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016)
Month:
December
Year:
2016
Address:
Osaka, Japan
Editors:
Patrick Drouin, Natalia Grabar, Thierry Hamon, Kyo Kageura, Koichi Takeuchi
Venue:
CompuTerm
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
110–120
Language:
URL:
https://aclanthology.org/W16-4713
DOI:
Bibkey:
Cite (ACL):
Driss Sadoun. 2016. A semi automatic annotation approach for ontological and terminological knowledge acquisition. In Proceedings of the 5th International Workshop on Computational Terminology (Computerm2016), pages 110–120, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
A semi automatic annotation approach for ontological and terminological knowledge acquisition (Sadoun, CompuTerm 2016)
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PDF:
https://aclanthology.org/W16-4713.pdf