Learning domain ontologies for Web service descriptions: an experiment in bioinformatics

The reasoning tasks that can be performed with semantic web service descriptions depend on the quality of the domain ontologies used to create these descriptions. However, building such domain ontologies is a time consuming and difficult task. We describe an automatic extraction method that learns domain ontologies for web service descriptions from textual documentations attached to web services. We conducted our experiments in the field of bioinformatics by learning an ontology from the documentation of the web services used in my Grid, a project that supports biology experiments on the Grid. Based on the evaluation of the extracted ontology in the context of the project, we conclude that the proposed extraction method is a helpful tool to support the process of building domain ontologies for web service descriptions. Categories and Subject Descriptors H.3.5 [Information Storage and Retrieval]: Online Information Services--Web-based Services; I.2.6 [Artificial Intelligence]: Learning...

• Type: Conference
• Year: 2005
• Where: WWW
• Authors: Marta Sabou, Chris Wroe, Carole A. Goble, Gilad Mishne
• Keywords: Building Domain Ontologies, Domain Ontologies, Domain Ontology, Internet Technology, WWW 2005