Towards a Semantic and Dynamic Cluster based Web Service Discovery System for Ubiquitous Environments

Abstract

Ubiquitous computing aims to exchange and share services anywhere, anytime. However, discovering the appropriate service in ubiquitous environments poses very specific challenges. In this paper, we propose a new Semantic and Dynamic Cluster based Web Service Discovery System (SDC-WSDS) which deals with dynamicity and scalability challenges. Our discovery system is based on a clustered architecture and supports semantic publication and discovery queries. We, hence, present a new clustering algorithm for ubiquitous environments inspired by the Weighted Clustering Algorithm (WCA) and a semantic service publication and discovery model. This model is based on attribute value pairs and a semantic distance function.