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S.: Semantic web reasoning by swarm intelligence (2009)
| Venue: | In: The 5th International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS2009 |
| Citations: | 6 - 2 self |
BibTeX
@INPROCEEDINGS{Dentler09s.:semantic,
author = {Kathrin Dentler and Christophe Guéret and Stefan Schlobach},
title = {S.: Semantic web reasoning by swarm intelligence},
booktitle = {In: The 5th International Workshop on Scalable Semantic Web Knowledge Base Systems (SSWS2009},
year = {2009}
}
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Abstract
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. 1
