Article published in:Application-Driven Terminology Engineering
Edited by Fidelia Ibekwe-SanJuan, Anne Condamines and M. Teresa Cabré Castellví
[Benjamins Current Topics 2] 2007
► pp. 19–47
Mining defining contexts to help structuring differential ontologies
In this paper, we present an experiment dealing with corpus-based construction of “differential ontologies”, which are organised according to semantic similarity and differential features. We argue that knowledge-rich defining contexts can be useful to help an ontology modeller in his task. We present a method, based on lexico-syntactic patterns, to spot such contexts in a corpus, then identify the terms they relate (definiendum and genus or “characteristics”) and the semantic relation that links them. We also show how potential co-hyponyms can be detected on the basis of shared words in their definiens. We evaluate the extracted defining sentences, semantic relations and co-hyponyms on a test corpus focusing on childhood and on an evaluation corpus about dietetics (both corpora are French). Definition extraction obtains 50% precision and recall of approximately 40%. Semantic relation identification reaches an average of 48% precision, and co-hyponyms 23.5%. We discuss the results of these experiments and conclude on perspectives for future work.
Keywords: co-hyponyms, corpus-based ontology structuring, defining contexts, differential ontology, horizontal structuring, lexico-syntactic patterns, semantic relations
Published online: 14 March 2007
Cited by 1 other publications
Hollink, Laura, Véronique Malaisé & Guus Schreiber
This list is based on CrossRef data as of 25 december 2021. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.