Combining Document Classification and Ontology Alignment for Semantically Enriching Web Services

Abstract

Semantic Web Services represent the basic blocks for building a network of distributed and heterogeneous applications, without human intervention. Despite the high level of automatism that can be achieved with Semantic Web Services technology, this is not broadly adopted. One factor that hinders the widespread usage of this technology is the effort required to annotate semantically ordinary services. This paper presents AWSA (Automatic Web Service Annotator), an approach for easing the conversion of Web Services into Semantic Web enabled services. The main idea behind AWSA is to annotate Web Services with concepts defined by existing ontologies, which have been used for annotating similar services in the past. This approach combines text preprocessing, document classification and ontology alignment techniques to extract valuable information conveyed in standard service descriptions, reduce the search space and find proper concepts for the service being annotated, respectively. Experimental evaluations show the feasibility of the proposed approach.