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Inductive Query Answering and Concept Retrieval Exploiting Local Models
2009 Ninth International Conference on Intelligent Systems Design and Applications
We present a classification method, founded in the instance-based learning and the disjunctive version space approach, for performing approximate retrieval from knowledge bases expressed in Description Logics. It is able to supply answers, even though they are not logically entailed by the knowledge base (e.g. because of its incompleteness or when there are inconsistent assertions). Moreover, the method may also induce new knowledge that can be employed to make the ontology population taskdoi:10.1109/isda.2009.34 dblp:conf/isda/dAmatoFEL09 fatcat:gfaanbovcjbgjf4zhkvugva5ku