Output details
11 - Computer Science and Informatics
University of Aberdeen
Scalable querying services over fuzzy ontologies
<22>WWW is the most prestigious conference Web technologies. This paper complements and extends results from the JAIR paper http://dl.acm.org/citation.cfm?id=1622637.1622645 on expressive fuzzy ontologies. This is the first published result, with empirical evaluation, on scalable query answering for fuzzy DL-Lite ontologies. The significance lies in the fact that the proposed algorithm works for the whole family of the proposed fuzzy query languages, covering most of the fuzzy query languages proposed in the literature. The research was funded by the EU NoE Knowledge Web (2004-2007) and informs further research on uncertainty reasoning in the ITA project (2011-2015, usukita.org).