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Aug 17
2010
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Ontology Learning for Cost-Effective Large-scale Semantic Annotation of XML Schemas and Web Service InterfacesPosted by: Peep Küngas on Aug 17, 2010 Tagged in: SEMANTIC INTEROPERABILITY
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The paper with such a title has been accepted to EKAW 2010 (http://ekaw2010.inesc-id.pt/), the 17th International Conference on Knowledge Engineering and Knowledge Management, and will soon appear in the proceedings.
In this paper Shahab Mokarizadeh will introduce a novel unsupervised ontology learning approach, which can be used to automatically derive a reference ontology from a corpus of web services for annotating semantically the Web services in the absence of a core ontology. The approach relies on shallow parsing technique from natural language processing (NLP) in order to identify grammatical patterns of web service message element/part names and exploit them in construction of the ontology. The generated ontology is further enriched by introducing relationships between synonym concepts. The experimental results on a set of global Web services indicate that the proposed ontology learning approach generates an ontology, which can be used to automatically annotate around 52% of element part and field names in a large corpus of heterogeneous Web services.
The proposed solution has been validated on Web services descriptions available at http://www.soatrader.com. Either contact the authors (Shahab Mokarizadeh, me and Mihhail Matskin) or post your question as a comment here, in case you want some insight to the approach before you meet Shahab at EKAW 2010;)
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