Abstract
This paper focuses on how to construct domain ontologies, in particular, a hierarchically structured set of domain concepts without concept definitions, reusing a machine readable dictionary (MRD) and making it adjusted to specific domains. In doing so, we must deal with concept drift, which means that the senses of concepts change depending on application domains. So here are presented the following two strategies: match result analysis and trimmed result analysis. The strategies try to identify which part may stay or should be moved, analyzing spell match results between given input domain terms and a MRD. We have done case studies in the filed of some law. The empirical results show us that our system can support a user in constructing a domain ontology.
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© 1998 Springer-Verlag Berlin Heidelberg
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Sekiuchi, R., Aoki, C., Kurematsu, M., Yamaguchi, T. (1998). DODDLE: A domain ontology rapid development environment. In: Lee, HY., Motoda, H. (eds) PRICAI’98: Topics in Artificial Intelligence. PRICAI 1998. Lecture Notes in Computer Science, vol 1531. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0095269
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DOI: https://doi.org/10.1007/BFb0095269
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