GHSOM-based web service discovery

Authors:
Florie Ismaili;Bogdan Shishedjiev;Xhemal Zenuni;Bujar Raufi
Affiliations:
Faculty of Contemporary Sciences and Technologies, South East European University, Fyrom;Faculty of Electronic Engineering and Technology, Technical University of Sofia, Sofia, Bulgaria;Faculty of Contemporary Sciences and Technologies, South East European University, Fyrom;Faculty of Contemporary Sciences and Technologies, South East European University, Fyrom
Venue:
ECC'10 Proceedings of the 4th conference on European computing conference
Year:
2010

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Abstract

The increasing number of available web services necessitates new ways for efficient Web service discovery. In this paper we follow up our previous work of proposing new framework for efficient web service discovery by combining the growing hierarchical self-organizing map (GHSOM), a powerful data mining technique for the clustering and visualization of large and complex data sets with Latent semantic Indexing. This framework supports web service discovery and service ranking by giving an ordered list of relevant services which helps users to make better decisions in selecting the right Web Service for reuse. A prototype system implementation is provided to show the validity of this framework. In order to achieve this, the system uses and extends existing web service tools.