Some Reflections on the Discovery of Hyponyms between Ontologies

Using intelligent techniques to automatically compute semantic relationships across ontologies is a challenging task that is necessary in many real-world applications requiring the integration of semantic information coming from different sources. However, most of the work in the field is restricted to the discovery of synonymy relationships. Hyponymy relationships, although in the real world they are more frequent than synonymy, have not received similar attention. In this paper, we evaluate a technique based on shared properties used in the discovery of hyponymy relationships and identify some limitations of ontology sets commonly used as benchmarks. We also argue that new lexical similarity measures are needed and discuss a preliminary proposal.