A service search engine for the industrial digital ecosystems

Digital Ecosystem (DE) is comprised of heterogeneous and distributed species which can play the dual role of service provider and service requester. Today DE lacks semantic search support, which means that it cannot provide a reliable and trustworthy link between service providers and service reques...

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Bibliographic Details
Main Authors: Dong, Hai, Hussain, Farookh Khadeer, Chang, Elizabeth
Format: Journal Article
Published: Institute of Electrical and Electronic Engineers 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/41182
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author Dong, Hai
Hussain, Farookh Khadeer
Chang, Elizabeth
author_facet Dong, Hai
Hussain, Farookh Khadeer
Chang, Elizabeth
author_sort Dong, Hai
building Curtin Institutional Repository
collection Online Access
description Digital Ecosystem (DE) is comprised of heterogeneous and distributed species which can play the dual role of service provider and service requester. Today DE lacks semantic search support, which means that it cannot provide a reliable and trustworthy link between service providers and service requesters. To solve this issue, we design a conceptual framework of a service-ontology-based semantic service search engine. Apart from the function of service search with a novel search model, this framework also provides a quality-of-services (QoS)-based service evaluation and ranking methodology. To evaluate the feasibility of our framework, we implement a prototype in the transport service domain, and compare the performance of the search model with three traditional information retrieval models. The conclusion to this evaluation and suggestions for future works are provided in the final section.
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format Journal Article
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institution Curtin University Malaysia
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last_indexed 2025-11-14T09:06:25Z
publishDate 2011
publisher Institute of Electrical and Electronic Engineers
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spelling curtin-20.500.11937-411822017-09-13T15:59:27Z A service search engine for the industrial digital ecosystems Dong, Hai Hussain, Farookh Khadeer Chang, Elizabeth service evaluation semantic service search Digital Ecosystems QoS ranking Digital Ecosystem (DE) is comprised of heterogeneous and distributed species which can play the dual role of service provider and service requester. Today DE lacks semantic search support, which means that it cannot provide a reliable and trustworthy link between service providers and service requesters. To solve this issue, we design a conceptual framework of a service-ontology-based semantic service search engine. Apart from the function of service search with a novel search model, this framework also provides a quality-of-services (QoS)-based service evaluation and ranking methodology. To evaluate the feasibility of our framework, we implement a prototype in the transport service domain, and compare the performance of the search model with three traditional information retrieval models. The conclusion to this evaluation and suggestions for future works are provided in the final section. 2011 Journal Article http://hdl.handle.net/20.500.11937/41182 10.1109/TIE.2009.2031186 Institute of Electrical and Electronic Engineers fulltext
spellingShingle service evaluation
semantic service search
Digital Ecosystems
QoS ranking
Dong, Hai
Hussain, Farookh Khadeer
Chang, Elizabeth
A service search engine for the industrial digital ecosystems
title A service search engine for the industrial digital ecosystems
title_full A service search engine for the industrial digital ecosystems
title_fullStr A service search engine for the industrial digital ecosystems
title_full_unstemmed A service search engine for the industrial digital ecosystems
title_short A service search engine for the industrial digital ecosystems
title_sort service search engine for the industrial digital ecosystems
topic service evaluation
semantic service search
Digital Ecosystems
QoS ranking
url http://hdl.handle.net/20.500.11937/41182