Title: A scalable and efficient Web 2.0 reader platform for mashups

Authors: Osama Al-Haj Hassan; Bassam Al Shargabi

Addresses: Computer Science Department, Isra University, 11622 Amman, Jordan. ' Computer Science Department, Isra University, 11622 Amman, Jordan

Abstract: Two of the icons of Web 2.0 applications are feed readers and mashup platforms. On one hand, feed readers provide end-users with updates of content of feeds they subscribe to. On the other hand, mashups are conceptually web services created by end-users and hosted by mashup platforms which empower end-users with a tool to query the web based on their personalised interests. In this paper, we combine the best of mashup readers and mashup platforms in order to design a novel Web 2.0 application called mashup reader. Mashup reader enables end-users to subscribe to their favourite mashups and obtain updates of the result of executing those mashups. In this paper, we introduce the design of mashup reader, provide ways to improve its efficiency, and evaluate its execution mechanism. Our experiments show that mashup reader is an efficient and scalable Web 2.0 platform which provides end-users with an effective web querying tool.

Keywords: Web 2.0; personalisation; mashups; web services; reader platforms; feed readers; mashup platforms; mashup readers; web queries; web search.

DOI: 10.1504/IJWET.2012.050967

International Journal of Web Engineering and Technology, 2012 Vol.7 No.4, pp.358 - 380

Available online: 11 Dec 2012

Full-text access for editors Access for subscribers Purchase this article Comment on this article