A new paradigm: web 2.0 Mashup patterns

  • Authors:

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

  • 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.

  • Venue:
  • MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
  • Year:
  • 2009

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Abstract

The advent of Web 2.0 drastically changes the playing field 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 Google's momentum and the world of web Mashups. 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 Top50 popular Mashups on Programmable Web--and aim to present five collection of five Mashup Patterns: Data source Mashups, Process Mashups, Consumer Mashups, Business Mashups and Developer assembly Mashups which build platforms to foster innovation in assembly, where remixing of data and services creates 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, five 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.