Ontology Evolution by Significant Analysis of Terms using WordNet for Web Services
Journal Title: International Journal of Advanced Research in Computer Engineering & Technology(IJARCET) - Year 2013, Vol 2, Issue 4
Abstract
In reality Ontologies have become an effective modelling tool. Several applications make use of them and significantly in the semantic web. However, construction of ontology is an intimidating job. Ontology evolution is one of the latest methods for the construction of ontology which focus on automatic generation of the concepts and their relations in a specified area. The difficulty with numerous, largely dissimilar concepts must be tackled by the evolution of ontology which depends on the collection of already defined textual sources like web services. The ontology evolution process for web services by utilizing the WSDL and free text descriptors is proposed. Term Frequency/Inverse Document Frequency (TF/IDF) and web context generation are the two techniques used to assess the WSDL descriptor. The proposed ontology evolution process improves the TF/IDF ranking by introducing WordNet tool to produce more significant tokens. The outcomes of these techniques are combined to obtain significant concepts. The service free text descriptor is the third technique applied to validate the concepts generated. Thus the combined ontology evolution approach contributes to a furthermore accurate ontology definition.
Authors and Affiliations
Priya C V , Janaki Kumar
Keywords
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