WSPAB: A Tool for Automatic Classification & Selection of Web Services Using Formal Concept Analysis

Abstract

The increased popularity of web services is accompanied with an increase in both provider and service number. This fairly large service number causes a deficiency in the selection of the most pertinent service, and makes it an effortful and time-consuming task. We propose the WSPAB (Web Service Personal Address Book) tool that aims at defining a complete solution for facilitating the task of finding the most pertinent web service. This includes two sub tasks, discovering and selecting. In this paper, we present the first part of the tool concerning the automation of the selection process, taking into consideration the quality of service (QoS) and user preferences. The WSPAB accomplishes the automatic selection of a service by filtering web services according to certain aspects of QoS and certain user requirements; then classifying these services using the formal concept analysis (FCA) approach, enabling users to easily select their needed service, identify its potential substitutes and keep trace of them either for future use, or to be shared with others.

Automatic Web Service Tagging Using Machine Learning and WordNet Synsets

“…Here, we describe a selection of works, classified using their adapted techniques. 2 The second one is edited by the responsible of Seekda's technical infrastructure Using machine learning techniques: Many approaches adapt techniques from machine learning field, in order to discover and group similar services. In [5,15], service classifiers are defined depending on sets of previously categorized services.…”

“…A collection of works [1,22,2], adapt the formal concept analysis method to retrieve web services more efficiently. Contexts obtained from service descriptions are used to classify the services as a concept lattice.…”

A Requirement-Centric Approach to Web Service Modeling, Discovery, and Selection

“…The contributions of this work are complementary to ours, insofar as they do not deal with QoS properties in the selection task. Azmeh et al [21] present a similar approach to classify and select services using the FCA. They propose WSPAB (Web Service Personal Address Book) tool that permits the discovery, the automatic classification, and the selection of WSs.…”

On topological structure of web services networks for composition

“…This modular organisation can be exploited throughout the Web services life cycle. Communities of interacting Web services can be substituted to the classical communities based on Web services similarity (Medjahed and Bouguettaya, 2005;Arpinar, AlemanMeza, and Zhang, 2005;Benatallah, Dumas, and Sheng, 2005;Taher et al, 2006;Bruno et al, 2005;Oldham et al, 2004;Katakis et al, 2009;Konduri and Chan, 2008;Nayak and Lee, 2007;Azmeh et al, 2008), used in the classification process for publication. Rather than grouping Web services belonging to the same domain, these communities gather Web services that preferentially interact.…”