WSEAS Transactions on Information Science and Applications archive· 2009Q4
Toward a new paradigm: Mashup patterns in web 2.0
- 14citations
- Q4SCImago
- 2009year
Short summary
This paper identifies seven distinct patterns (Data source, Process, Consumer, Enterprise, Client-Side, Server-Side, and Developer assembly Mashups) found in successful Web 2.0 mashups, providing a framework for understanding and fostering innovation through data and service remixing.
AI-generated from the title and abstract; the full text is not read.
Key points
- Identifies seven distinct patterns in successful Web 2.0 mashups.
- Patterns include Data source, Process, Consumer, Enterprise, Client-Side, Server-Side, and Developer assembly Mashups.
- Mashups foster innovation by enabling the remixing of data and services.
- Provides a framework for understanding mashup architecture and implementation.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. WSEAS Transactions on Information Science and Applications archive, 2009 · DOI ↗
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Field: Information Systems
Information SystemsComputer Science