Semantic Annotation for Web Services Based on DBpedia
Zhen Zhang, Shizhan Chen, Zhiyong Feng · 2013
The vast majority of Web services on the Internet lack explicit and sufficient semantic information. As a result, we cannot provide all the relevant services during service discovery, and have difficulty in service composition. In this paper, we propose an automated approach to semantic annotation for Web services based on the DBpedia knowledge base. Through rich, open Linked Data resources, and taking advantage of the DBpedia Ontology, a consistent and cross-domain ontology, and its application DBpedia Spotlight, we can match the appropriate Linked Data concepts to the corresponding parameter concepts of Web services. The annotated Web services contain the same semantic relationships as those within their corresponding Linked Data resources. Moreover, we also present an evaluation framework in accordance with our annotation approach. We performed experiments on two different datasets which incorporate altogether 30743 parameter concepts. An analysis of our experimental results indicates that our methods produce a high annotation rate with great accuracy.