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A hybrid service metadata clustering methodology in the digital ecosystems environment

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Open access
Authors
Dong, Hai
Hussain, Farookh Khadeer
Chang, Elizabeth
Date
2009
Type
Conference Paper

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Dong, Hai and Hussain, Farookh Khadeer and Chang, Elizabeth. 2009. A hybrid service metadata clustering methodology in the digital ecosystem environment, in Tomoya Enokido (ed), 5th International Symposium on Frontiers of Information Systems and Network Applications with IEEE 23rd International Conference on Advanced Information Networking and Applications (AINA 2009), May 26 2009, pp. 238-243. Bradford, UK: IEEE Computer Society.
Source Title
Proceedings of the 5th international symposium on frontiers of information systems and network applications with IEEE 23rd international conference on advanced information networking and applications (AINA 2009)
Source Conference
5th International Symposium on Frontiers of Information Systems and Network Applications with IEEE 23rd International Conference on Advanced Information Networking and Applications (AINA 2009)
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Curtin Business School
The Digital Ecosystems and Business Intelligence Institute (DEBII)
School
Centre for Extended Enterprises and Business Intelligence
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Copyright © 2009 IEEE This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

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Abstract

Digital Ecosystems (DE) is an open, loosely coupled, domain clustered, demand-driven, self-organizing and agent-based environment, in which each species is proactive and responsive for its own benefit and profit. Species in DE can play dual roles, which are service requester (client) that needs services and service provider (server) that provides services. A service provider enters DE by publishing a service in the service factory, which will be clustered by domain-specific ontologies provided by DE. Two issues could exist here. The first is that the pre-existing service metadata cannot be easily clustered because of the lack of technological support. To solve this issue, an automatic service metadata clustering method is desired. However, this could educe the second issue the outcome of the method could not agree with service providers perception. To solve the two issues, in this paper, we present an ontology-based metadata clustering methodology, with a complement of a service provider-oriented metadata clustering approach. The information regarding the prototype implementation and the evaluation of this methodology is revealed in the final section.