Towards an Automatic Service Composition for Generation of User-Sensitive Mashups

Abstract

In today’s Web 2.0, mashups allow users to bring together data and services from various Web applications in order to create a new integrated tool that serves their needs. Nowadays, there is an increasing number of frameworks that provide users with a GUI environment to manually assemble different data sources and services into a mashup. However, in order to create such tools, the user must possess a certain level of technical knowledge. In this paper, we introduce a framework that automatically selects and combines Web services to create mashups. We also describe the user model that stores knowledge about user interests and expertise, which are used by the framework in order to generate mashups tailored to the needs of individual users.