Resumen de Adapting the M-ATOLL Methodology for the Generation of Ontology Lexicons to Non-Indo-European Languages: The case of Japanese
Bettina Lanser, Philipp Cimiano
In order to make the growing amount of conceptual knowledge available through ontologies and datasets accessible to humans, NLP applications need access to information on how this knowledge can be verbalized in natural language. One way to provide this kind of information are ontology lexicons, which apart from the actual verbal- izations in a given target language can provide further, rich linguistic information about them. Compiling such lexicons manually is a very time-consuming task and requires expertise both in Semantic Web technologies and lexicon engineering, as well as a very good knowledge of the target language at hand. In this paper we present an alternative approach to generating ontology lexicons by means of the framework M-ATOLL. So far, M-ATOLL has been used with Indo-European languages that share a large set of common characteristics. We explore if M-ATOLL can also be used fruitfully with Non-Indo-European languages; for this purpose, we use M-ATOLL to generate a Japanese ontology lexicon for DBpedia
