Focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems
Digital Ecosystems make use of Service Factories for service entities’ publishing, classification and management. However, before the emergence of Digital Ecosystems, there existed ubiquitous and heterogeneous service information in the Business Ecosystems environment. Therefore, dealing with the pr...
| Main Authors: | , |
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| Format: | Journal Article |
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Institute of Electrical and Electronic Engineers
2011
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| Online Access: | http://hdl.handle.net/20.500.11937/35936 |
| _version_ | 1848754630824034304 |
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| author | Dong, Hai Hussain, Farookh Khadeer |
| author_facet | Dong, Hai Hussain, Farookh Khadeer |
| author_sort | Dong, Hai |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | Digital Ecosystems make use of Service Factories for service entities’ publishing, classification and management. However, before the emergence of Digital Ecosystems, there existed ubiquitous and heterogeneous service information in the Business Ecosystems environment. Therefore, dealing with the pre-existing service information becomes a crucial issue in Digital Ecosystems. This issue has not been addressed previously in the literature. In order to resolve this issue, in this paper we present a conceptual framework for a semantic focused crawler, with the purpose of automatically discovering, annotating and classifying the service information with the Semantic Web technologies. The technical and evaluation details of the framework are also presented and discussed in this paper. |
| first_indexed | 2025-11-14T08:43:28Z |
| format | Journal Article |
| id | curtin-20.500.11937-35936 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:43:28Z |
| publishDate | 2011 |
| publisher | Institute of Electrical and Electronic Engineers |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-359362017-09-13T15:53:33Z Focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems Dong, Hai Hussain, Farookh Khadeer service annotation service discovery service classification semantic focused crawler Digital Ecosystems service ontologies Digital Ecosystems make use of Service Factories for service entities’ publishing, classification and management. However, before the emergence of Digital Ecosystems, there existed ubiquitous and heterogeneous service information in the Business Ecosystems environment. Therefore, dealing with the pre-existing service information becomes a crucial issue in Digital Ecosystems. This issue has not been addressed previously in the literature. In order to resolve this issue, in this paper we present a conceptual framework for a semantic focused crawler, with the purpose of automatically discovering, annotating and classifying the service information with the Semantic Web technologies. The technical and evaluation details of the framework are also presented and discussed in this paper. 2011 Journal Article http://hdl.handle.net/20.500.11937/35936 10.1109/TIE.2010.2050754 Institute of Electrical and Electronic Engineers fulltext |
| spellingShingle | service annotation service discovery service classification semantic focused crawler Digital Ecosystems service ontologies Dong, Hai Hussain, Farookh Khadeer Focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems |
| title | Focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems |
| title_full | Focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems |
| title_fullStr | Focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems |
| title_full_unstemmed | Focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems |
| title_short | Focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems |
| title_sort | focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems |
| topic | service annotation service discovery service classification semantic focused crawler Digital Ecosystems service ontologies |
| url | http://hdl.handle.net/20.500.11937/35936 |