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.
In REF , Dong and Hussain proposed a conceptual framework for implementing semantic focused crawling processes for automatically discovering, annotating, and classifying the service information of digital ecosystems with the semantic web technologies.
Focused Crawling for Automatic Service Discovery, Annotation, and Classification in Industrial Digital Ecosystems
IEEE Transactions on Industrial Electronics
IEEE Transactions on Industrial Electronics
Computer Science