主催: The Japanese Society for Artificial Intelligence
会議名: 2018年度人工知能学会全国大会（第32回）
回次: 32
開催地: 鹿児島県鹿児島市 城山ホテル鹿児島
開催日: 2018/06/05 - 2018/06/08
Ontology reasoning is an important but complex problem allowing the discovery of new knowledge and the query and maintenance of complex data. For decision making in real-time systems, faster approach such as decision tables are often used. In this paper, we propose a technique to perform efficient ontology reasoning with decision tables. Our experiments show a significant improvement of the reasoning time compared to a naive approach.
