E-business service semantic classification and retrieval

In this work we provide an initial analysis of e-husinees service classification and retrieval. We present a process of associating e-business services with ontologies and show how the process can be similarly used for e-business service retrieval. The semantic understanding of business services may provide added value through the creation of new compositions of sendees. We analyze two common methods for text processing, TF/IDF and context analysis. We also compare the use of service description as a means for free text retrieval of categorized WSDL description of web service. Our initial results indicate that context analysis is more useful than TF/IDF and that free textual descriptions can be used for retrieval of categorized WSDL description using similar processes.