Int. J. of Metadata, Semantics and Ontologies   »   2010 Vol.5, No.2

 

 

Title: Evaluation of scalable multi-agent system architectures for searching the Semantic Web

 

Author: I.W. Blacoe, V. Tamma, M.J. Wooldridge

 

Addresses:
Department of Computer Science, University of Liverpool, L69 3BX Liverpool, UK.
Department of Computer Science, University of Liverpool, L69 3BX Liverpool, UK.
Department of Computer Science, University of Liverpool, L69 3BX Liverpool, UK

 

Abstract: The Semantic Web (SW) is an open environment where heterogeneous and distributed knowledge is rendered machine-processable using ontologies, their extensions, and annotation metadata. The volume of resources available for semantic annotation indicates a requirement for scalable and robust mechanisms to search for resources using the encoded knowledge. SERSE is a multi-agent system to index, query, retrieve and aggregate Semantic Web resources. SERSE agents apply ontological knowledge to maintain a distributed semantic index, that is inter-connected by a semantic overlay network. Efficient retrieval of resources is achieved by the semantic routing mechanism, that locates those agents indexing resources matching a query. The paper presents the routing mechanism and an analytical evaluation of some of the autonomic features exhibited by the agents in order to ensure scalability.

 

Keywords: multi-agent systems; semantic web; search; semantic annotation; MAS; agent-based systems; semantics; ontologies; annotation metadata; distributed semantic index; semantic overlay network; semantic routing; resource retrieval; query; resource indexing.

 

DOI: 10.1504/IJMSO.2010.033281

 

Int. J. of Metadata, Semantics and Ontologies, 2010 Vol.5, No.2, pp.99 - 119

 

Available online: 16 May 2010

 

 

Editors Full Text AccessAccess for SubscribersPurchase this articleComment on this article