A human-centered semantic service platform for the digital ecosystems environment

Dong, H; Hussain, FK; Chang, E

A human-centered semantic service platform for the digital ecosystems environment

Dong, H Hussain, FK

Chang, E

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Publication Type:: Journal Article
Citation:: World Wide Web, 2010, 13 (1-2), pp. 75 - 103
Issue Date:: 2010-01-06

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Field	Value	Language
dc.contributor.author	Dong, H	en_US
dc.contributor.author	Hussain, FK https://orcid.org/0000-0003-1513-8072	en_US
dc.contributor.author	Chang, E	en_US
dc.date.issued	2010-01-06	en_US
dc.identifier.citation	World Wide Web, 2010, 13 (1-2), pp. 75 - 103	en_US
dc.identifier.issn	1386-145X	en_US
dc.identifier.uri	http://hdl.handle.net/10453/15100
dc.description.abstract	Digital Ecosystems (DEST) have emerged with the purpose of enhancing communications among small and medium enterprises (SMEs) within the worldwide Business Ecosystem. However, because of the diversity and heterogeneity of the services in the DEST environment, existing commercial products or research outputs cannot be directly applied to this field so as to fulfill the requirements of SMEs. Human-centered computing has been applied to many areas, such as social classification, community-based ontology evolution, and more importantly, human-centered systems. In this paper, we propose a framework for a human-centered semantic service platform, in order to address the issue in the DEST environment. This framework incorporates the features of human-centered metadata publishing, maintenance and clustering, community-based ontology revolution and human-centered service retrieval, evaluation and ranking. To thoroughly validate the framework, we implement a prototype in the transport service domain, and conduct a series of evaluation experiments on the basis of this prototype. © 2009 Springer Science+Business Media, LLC.	en_US
dc.relation.ispartof	World Wide Web	en_US
dc.relation.isbasedon	10.1007/s11280-009-0081-5	en_US
dc.subject.classification	Information Systems	en_US
dc.title	A human-centered semantic service platform for the digital ecosystems environment	en_US
dc.type	Journal Article
utslib.citation.volume	1-2	en_US
utslib.citation.volume	13	en_US
utslib.for	0805 Distributed Computing	en_US
utslib.for	0804 Data Format	en_US
utslib.for	0806 Information Systems	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CAI - Centre for Artificial Intelligence
utslib.copyright.status	closed_access
pubs.issue	1-2	en_US
pubs.publication-status	Published	en_US
pubs.volume	13	en_US

Abstract:

Digital Ecosystems (DEST) have emerged with the purpose of enhancing communications among small and medium enterprises (SMEs) within the worldwide Business Ecosystem. However, because of the diversity and heterogeneity of the services in the DEST environment, existing commercial products or research outputs cannot be directly applied to this field so as to fulfill the requirements of SMEs. Human-centered computing has been applied to many areas, such as social classification, community-based ontology evolution, and more importantly, human-centered systems. In this paper, we propose a framework for a human-centered semantic service platform, in order to address the issue in the DEST environment. This framework incorporates the features of human-centered metadata publishing, maintenance and clustering, community-based ontology revolution and human-centered service retrieval, evaluation and ranking. To thoroughly validate the framework, we implement a prototype in the transport service domain, and conduct a series of evaluation experiments on the basis of this prototype. © 2009 Springer Science+Business Media, LLC.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/15100