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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 8

Proceedings of the 2016 Federated Conference on Computer Science and Information Systems

Web Services Ontology Population through Text Classification

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DOI: http://dx.doi.org/10.15439/2016F332

Citation: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 8, pages 491–495 ()

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Abstract. 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

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