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Lecture Notes in Computer Science
In this paper, we consider the problem of query answering over multimedia ontologies. Traditional reasoning systems may have problems to deal with large amounts of expressive ontological data (terminological as well as assertional data) that usually must be kept in main memory. We propose to overcome this problem with a new so-called filter and refine paradigm for ontology-based query answering. The contribution of this paper is twofold: (1) For both steps, algorithms are presented. (2) Wedoi:10.1007/978-3-642-15280-1_40 fatcat:p7flolc6lzdqrabzalwhalhawy