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dc.contributor.authorDong, Hai
dc.contributor.authorHussain, Farookh Khadeer
dc.date.accessioned2017-01-30T13:52:37Z
dc.date.available2017-01-30T13:52:37Z
dc.date.created2012-03-29T20:01:45Z
dc.date.issued2011
dc.identifier.citationDong, Hai and Hussain, Farookh K. 2011. Focused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems. IEEE Transactions on Industrial Electronics. 58 (6): pp. 2106-2116.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/35936
dc.identifier.doi10.1109/TIE.2010.2050754
dc.description.abstract

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.

dc.publisherInstitute of Electrical and Electronic Engineers
dc.subjectservice annotation
dc.subjectservice discovery
dc.subjectservice classification
dc.subjectsemantic focused crawler
dc.subjectDigital Ecosystems
dc.subjectservice ontologies
dc.titleFocused crawling for automatic service discovery, annotation and classification in industrial digital ecosystems
dc.typeJournal Article
dcterms.source.volume58
dcterms.source.number6
dcterms.source.startPage2106
dcterms.source.endPage2116
dcterms.source.issn02780046
dcterms.source.titleIEEE Transactions on Industrial Electronics
curtin.note

© 2011 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access


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