Implementing an open reference architecture based on web service mining for the integration of distributed applications and multi-agent systems

3Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper introduces an open reference architecture that enables seamless integration of distributed applications and agent-based systems. The reference architecture has been designed in order to be holistic, open and standards-abiding. It is based on an ontological framework that operates as a middleware between application developers and service providers on the one side and multi-agent systems on the other one. The proposed architecture enables seamless integration of closed (standalone) applications, provided that these applications export their functionality in the form of public web services. Moreover, we propose a data mining framework that operates on web service data and performs classification of web services and their operations into their semantically described counterparts. This enables seamless integration of applications through the corresponding web service interfaces, based on the ontological framework. On the other hand we show that knowledge derived from web service mining can be used by multi-agent systems in order to provide composite functionalities derived from the distributed web service operations. Moreover, agents are capable to provide personalized services that fulfill user requirements, by taking into account the personal profile, as well as the history of the end user. The paper presents the prototype tools that have been implemented for the realization of the proposed reference architecture. © 2010 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Kehagias, D. D., Tzovaras, D., Mavridou, E., Kalogirou, K., & Becker, M. (2010). Implementing an open reference architecture based on web service mining for the integration of distributed applications and multi-agent systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5980 LNAI, pp. 162–177). https://doi.org/10.1007/978-3-642-15420-1_14

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free