Inproceedings,

Semantic Web Reasoning by Swarm Intelligence

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Proceedings of the 5th International Workshop on Scalable Semantic Web Knowledge Base Systems, 517, page 1--16. http://ceur-ws.org, CEUR Workshop Proceedings, (October 2009)

Abstract

Semantic Web reasoning systems are confronted with the task to process growing amounts of distributed, dynamic resources. This paper presents a novel way of approaching the challenge by RDF graph traversal, exploiting the advantages of swarm intelligence. The natureinspired and index-free methodology is realised by self-organising swarms of autonomous, light-weight entities that traverse RDF graphs by following paths, aiming to instantiate pattern-based inference rules. The method is evaluated on the basis of a series of simulation experiments with regard to desirable properties of Semantic Web reasoning, focussing on anytime behaviour, adaptiveness and scalability.

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