Abstract
A first approach for web services discovering based on techniques from Information Retrieval (IR), Natural Language Processing (NLP) and XML Retrieval was developed in order to use texts contained in WSDL files. It calculates the degree of similarity between words and their relative importance to support the task of web services discovering. The first algorithm uses the information contained in the WSDL (Web Service Description Language) specifications and clusters web services based on their similarity. A second approach based on a information retrieval system that index terms by using an inverted index structure was also used. Both algorithms are applied in order to evaluate 25 topics in a set of 1947 real web services (all of them provided by INEX).
This work has been partially supported by projects: CONACYT #106625, VIEP #SOGJ-ING11-I, #BEMB-ING11-I, as well as by the PROMEP/103.5/09/4213 grant.
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Somodevilla, M.J., Beltrán, B., Pinto, D., Vilariño, D., Aaron, J.C. (2011). The BUAP Participation at the Web Service Discovery Track of INEX 2010. In: Geva, S., Kamps, J., Schenkel, R., Trotman, A. (eds) Comparative Evaluation of Focused Retrieval. INEX 2010. Lecture Notes in Computer Science, vol 6932. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23577-1_33
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DOI: https://doi.org/10.1007/978-3-642-23577-1_33
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