Description

Ontology have become the de-facto modeling tool of choice, employed in many applications and prominently in the semantic web. Ontological bootstrapping, which aims at automatically generating concepts and their relations in a given domain. Bootstrapping an ontology based on a set of predefined textual sources, such as web service, must address the problem of multiple, largely unrelated concepts. In this paper, propose an ontology bootstrapping process for web service. The WSDL descriptor is evaluated using two methods, namely Term Frequency/Inverse Document Frequency (TF/IDF) and web context generation. Proposed ontology bootstrapping process integrates the result of both methods and applies a third method to validate the concepts using the service free text descriptor, thereby offering a more accurate definition of ontologies. Furthermore, the recall versus precision comparison of the results when each method is separately implemented presents the advantage of integrated bootstrapping approach.