Expressive Querying over Fuzzy DL-Lite Ontologies

Abstract. Fuzzy Description Logics (f-DLs) have been proposed as formalisms capable of capturing and reasoning about imprecise and vague knowledge. The last years, research in Description Logics, and also in fDLs, is largely focused on the development of languages where complexity of query answering is as efficient as query answering in data bases. One such example is the DL-Lite language and its fuzzy extension f-DL-Lite. In the current paper we present various a variety of query languages by which we can query a fuzzy DL-Lite knowledge base. Then, we present a prototype implementation for querying f-DL-Lite ontologies.

• Type: Conference
• Year: 2007
• Where: DLOG
• Authors: Jeff Z. Pan, Giorgos B. Stamou, Giorgos Stoilos, Edward Thomas
• Keywords: Automated Reasoning, Description Logics, DLOG 2007, Fuzzy Description Logics, Query Answering