Towards Learning Fuzzy DL Inclusion Axioms
Fuzzy Description Logics (DLs) are logics that allow to deal with vague structured knowledge. Although a relatively important amount of work has been carried out in the last years concerning the use of fuzzy DLs as ontology languages, the problem of automatically managing fuzzy ontologies has received no attention so far. We report here our preliminary investigation on this issue by describing a method for inducing inclusion axioms in a fuzzy DL-Lite like DL.
KeywordsDescription Logic Inductive Logic Program Horn Clause Ontology Language Atomic Concept
Unable to display preview. Download preview PDF.
- 2.Calvanese, D., De Giacomo, G., Lembo, D., Lenzerini, M., Rosati, R.: Data complexity of query answering in description logics. In: Proc. of the 10th Int. Conf. on Principles of Knowledge Representation and Reasoning, pp. 260–270 (2006)Google Scholar
- 10.Quinlan, J.R.: Learning logical definitions from relations. Machine Learning 5, 239–266 (1990)Google Scholar
- 14.Straccia, U.: SoftFacts: a top-k retrieval engine for a tractable description logic accessing relational databases. Technical report (2009)Google Scholar