A comparison of ontology reasoning systems using query sequences
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ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
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OTM'07 Proceedings of the 2007 OTM Confederated international conference on On the move to meaningful internet systems - Volume Part II
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In the semantic web, content is tagged with "meaning" or "semantics" that allows for machine processing when implementing systems that search the web. General question/answer systems that are built on top of reasoning and inference face a number of difficult issues. In this paper we analyze scalability issues in the context of a question/answer system (called ScienceWeb) in the domain of a knowledge base of science information that has been harvested from the web. In ScienceWeb we will be able to answer questions that contain qualitative descriptors such as "groundbreaking", "top researcher", and "tenurable at university x". ScienceWeb is being built using ontologies, reasoning systems and custom based rules for the reasoning system. In this paper we address the scalability issue for a variety of supporting systems for ontologies and reasoning. In particular, we study the impact of using custom inference rules that are needed when processing queries in ScienceWeb.