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
fDate :
6/1/2011 12:00:00 AM
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;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2010.2050754