DocumentCode :
1506478
Title :
Focused Crawling for Automatic Service Discovery, Annotation, and Classification in Industrial Digital Ecosystems
Author :
Dong, Hai ; Hussain, Farookh Khadeer
Author_Institution :
Digital Ecosyst. & Bus. Intell. Inst., Curtin Univ. of Technol., Bentley, WA, Australia
Volume :
58
Issue :
6
fYear :
2011
fDate :
6/1/2011 12:00:00 AM
Firstpage :
2106
Lastpage :
2116
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 preexisting 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.
Keywords :
business process re-engineering; ecology; electronic publishing; semantic Web; ubiquitous computing; annotation; automatic service discovery; business ecosystems environment; classification; heterogeneous service information; industrial digital ecosystems; publishing; semantic Web technologies; service entities; service factories; ubiquitous service information; Crawlers; Ecosystems; Information retrieval; OWL; Ontologies; Permission; Production facilities; Publishing; Resource description framework; Semantic Web; Digital Ecosystems; semantic focused crawler; service annotation; service classification; service discovery; service ontologies;
fLanguage :
English
Journal_Title :
Industrial Electronics, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0046
Type :
jour
DOI :
10.1109/TIE.2010.2050754
Filename :
5475251
Link To Document :
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