Author(s): Seiji Koide, Fumihiro Kato, Hideaki Takeda
Abstract: The use of ontology in problem solving applications is one of the best ways achieving the interoperability of information and knowledge among applications. However, it is unlikely that there is a single appropriate ontology that meets the requirement of an individual problem solving task. In fact, an individual ontology is normally the outcome of conceptualization for a single target domain in a ﬁxed perspective, while a practical problem solving task often needs multiple target domains with multiple perspectives. Thus, we need to combine multiple ontologies that diﬀer in target domains and in perspectives for a given problem solving task. In this paper, we propose a new method in which new ontologies are generated from existing Linked Open Data (LOD) sets and ontologies to connect concepts in diﬀerent ontologies. We have called this approach a task-oriented ontology building approach. We built task-oriented ontologies for a driving guidance system, in which we used DBpedia, LinkedGeoData, and Japanese WordNet as existing knowledge bases, while we newly created a facility ontology, a service ontology, an action target ontology, and an action ontology as glue ontologies. The latter ontologies connected the former knowledge bases, and both of them were utilized to a given task, i.e., discovering driving destinations from demands by a car-driver and passengers.
Keywords: task-oriented; DBpedia; WordNet; LinkedGeoData; facility; service; action; action-target