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...
| Main Authors: | , , |
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| Format: | Journal Article |
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Institute of Electrical and Electronic Engineers
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/41182 |
| _version_ | 1848756074261250048 |
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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. |
| first_indexed | 2025-11-14T09:06:25Z |
| format | Journal Article |
| id | curtin-20.500.11937-41182 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:06:25Z |
| publishDate | 2011 |
| publisher | Institute of Electrical and Electronic Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 |