Web Services Ontology Population through Text Classification
José A. Reyes‐Ortiz, Maricela Bravo, Hugo Pablo · Annals of Computer Science and Information Systems · 2016
In this paper, we describe the process by which web services ontologies are populated from a web services collection.The general approach relies on a global ontology model that is used to represent automatically web services.The model is enriched with web service instances classified into a taxonomy.The main idea is to extract taxonomic relations (isTypeOf ) from web services using a supervised classifier of textual descriptions attached to web services.The entire process for ontology population involves the following tasks: text extraction from web service descriptions, classification of text descriptions and extraction of taxonomic relations (instances of classified web services).An experimentation was carried out with a collection of web service, which shows promising results and the feasibility of our approach.