Toward a new paradigm: Mashup patterns in web 2.0

  • Authors:

  • Cheng-Jung Lee;Shung-Ming Tang;Chang-Chun Tsai;Yu-Chuan Chen

  • Affiliations:

  • Department of Information Management, National Yunlin University of Science and Technology, Taiwan R.O.C.;Department of Information Management, National Yunlin University of Science and Technology, Taiwan R.O.C.;Institute of Management, MingDao University, ChangHua, Taiwan, R.O.C.;Department of Information Management, National Yunlin University of Science and Technology, Taiwan R.O.C.

  • Venue:
  • WSEAS Transactions on Information Science and Applications
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The advent of Web 2.0 changes the playing field drastically and opens a new era of platform opportunities. By opening the platform and making it remix, Google Maps changed the rules. Now, the rest of the industry is struggling to catch the world of web Mashups and Google's momentum. However, what about the conceptual heart of other popular Mashups? We focus on looking for patterns in successful Web 2.0 Mashups. We systemizes concepts from Top 60 popular Mashups on Programmable Web- and aim to present seven collection of Mashup Patterns: Data source Mashups, Process Mashups, Consumer Mashups, Enterprise Mashups, Client-Side Mashup, Server-Side Mashups and Developer assembly Mashups which build platforms to foster innovation in assembly, where remixing of data and services create new opportunities and markets. In this paper we highlight latest Mashup trends, exploration of the design principles of Mashups architecture, evaluation the most popular Mashups technology for the enterprise level, seven options patterns that exist for implementation, and capture the fundamental behavioral aspects of Mashups. What we present in this paper can be generalized for other Mashups.