ECAI 2004 Conference Paper

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SERSE: searching for semantic web content

Valentina Tamma, Ian Blacoe, Ben Lithgow Smith, Michael Wooldridge

Searching the Semantic Web (SW) for digital content is arguably more complex than searching the current web. In fact, a SW search system must deal with a large number of distributed, heterogeneous resources, that may reference many different ontologies. In order to manage this complexity we have integrated different technologies such as peer-to-peer, ontologies, and multi-agent technology in the design of Serse, a multi-agent system for searching the SW. In Serse, agents are organised in a P2P network according to a semantic overlay, where the neighbourhood is determined by the semantic proximity of the ontological definitions that are known to the agents. The integration of these technologies poses some problems. On the one hand, the more ontological knowledge the agents have, the better we can expect the system to perform. On the other hand, global knowledge would constitute a point of centralisation which might potentially degrade the performance of a P2P system. In addition, maintenance of such semantic overlay can also degrade the performance. The paper presents Serse together with an analytical evaluation of the workload of the system due to maintenance and some experimental results that evaluate the performance in response to changes in the size of semantic neighbourhood.

Keywords: multi-agent systems, ontologies

Citation: Valentina Tamma, Ian Blacoe, Ben Lithgow Smith, Michael Wooldridge: SERSE: searching for semantic web content. In R.López de Mántaras and L.Saitta (eds.): ECAI2004, Proceedings of the 16th European Conference on Artificial Intelligence, IOS Press, Amsterdam, 2004, pp.63-67.

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ECAI-2004 is organised by the European Coordinating Committee for Artificial Intelligence (ECCAI) and hosted by the Universitat Politècnica de València on behalf of Asociación Española de Inteligencia Artificial (AEPIA) and Associació Catalana d'Intel-ligència Artificial (ACIA).