Evaluation of scalable multi-agent system architectures for searching the Semantic Web. (17th May 2010)

• Record Type: Journal Article
• Authors: Blacoe, I.W.; Tamma, V.; Wooldridge, M.J.
• Is Part Of: International journal of metadata, semantics and ontologies. Volume 5:Number 2(2010)
• Page Start: 99
• Page End: 119
• Publication Date: 2010-05-17
• Subjects: 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; Metadata -- Periodicals; Semantic Web -- Periodicals; Ontologies (Information retrieval) -- Periodicals; Data structures (Computer science) -- Periodicals; Information theory -- Periodicals; 005.74
• Languages: English
• ISSNs: 1744-2621

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.