Data Mashups

A special issue of Future Internet (ISSN 1999-5903).

Deadline for manuscript submissions: closed (30 November 2009) | Viewed by 41511

Special Issue Editor

Special Issue Information

The term 'mashup' refers to Web sites or services that weave data from different sources into a new data source or service. Mashups are becoming increasingly widespread, e.g., in the context of combining geographic and geo-tagged data about health-related issues or some disease and displaying such integrated data on Web maps.

Maged N. Kamel Boulos, Ph.D.
Guest Editor

Keywords

  • data mashups
  • data aggregation and integration
  • application interfaces, API\'s
  • web services

Published Papers (3 papers)

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Article
Identifying Middlewares for Mashup Personal Learning Environments
by Jinan Fiaidhi, Sabah Mohammed, Lyle Chamarette and David Thomas
Future Internet 2009, 1(1), 14-27; https://0-doi-org.brum.beds.ac.uk/10.3390/fi1010014 - 05 Aug 2009
Cited by 8 | Viewed by 10428
Abstract
The common understanding of e-learning has shifted over the last decade from the traditional learning objects portals to learning paradigms that enforces constructivism, discovery learning and social collaboration. Such type of learning takes place outside the formal academic settings (e.g., seminars or lectures) [...] Read more.
The common understanding of e-learning has shifted over the last decade from the traditional learning objects portals to learning paradigms that enforces constructivism, discovery learning and social collaboration. Such type of learning takes place outside the formal academic settings (e.g., seminars or lectures) where a learning environment is created by using some kind of web application mashup tools. The use of these mashup tools moves the learning environment further away from being a monolithic platform towards providing an open set of learning tools, an unrestricted number of actors, and an open corpus of artifacts, either pre-existing or created by the learning process – freely combinable and utilizable by learners within their learning activities. However, collaboration, mashup and contextualization can only be supported through services, which can be created and modified dynamically based on middlewares to suit the current needs and situations of learners. This article identifies middlewares suitable for creating effective personal learning environment based on Web 2.0 mashup tools. This article also proposed a general framework for constructing such personal learning environments based on Ambient Learning realized by learning agents and the use of Enterprise Mashup servers. Full article
(This article belongs to the Special Issue Data Mashups)
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Article
Learning Space Mashups: Combining Web 2.0 Tools to Create Collaborative and Reflective Learning Spaces
by Steve Wheeler
Future Internet 2009, 1(1), 3-13; https://0-doi-org.brum.beds.ac.uk/10.3390/fi1010003 - 13 Jul 2009
Cited by 44 | Viewed by 17971
Abstract
In this paper, Web 2.0 open content mashups or combinations are explored. Two case studies of recent initial teacher training programmes are reviewed where blogs and wikis were blended to create new virtual learning spaces. In two separate studies, students offer their views [...] Read more.
In this paper, Web 2.0 open content mashups or combinations are explored. Two case studies of recent initial teacher training programmes are reviewed where blogs and wikis were blended to create new virtual learning spaces. In two separate studies, students offer their views about using these tools, and reflect on the strengths and weaknesses of this approach. There is also discussion about aggregation of content and a theorization of how community and personal spaces can create tension and conflict. A new ‘learning spaces’ model will be presented which aids visualization of the processes, domains and territories that are brought into play when content and Web 2.0 tools are mashed up within the same space. Full article
(This article belongs to the Special Issue Data Mashups)
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Review

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Review
Mashups: A Literature Review and Classification Framework
by Brandon Beemer and Dawn Gregg
Future Internet 2009, 1(1), 59-87; https://0-doi-org.brum.beds.ac.uk/10.3390/fi1010059 - 22 Dec 2009
Cited by 35 | Viewed by 12457
Abstract
The evolution of the Web over the past few years has fostered the growth of a handful of new technologies (e.g. Blogs, Wiki’s, Web Services). Recently web mashups have emerged as the newest Web technology and have gained lots of momentum and attention [...] Read more.
The evolution of the Web over the past few years has fostered the growth of a handful of new technologies (e.g. Blogs, Wiki’s, Web Services). Recently web mashups have emerged as the newest Web technology and have gained lots of momentum and attention from both academic and industry communities. Current mashup literature focuses on a wide array of issues, which can be partially explained by how new the topic is. However, to date, mashup literature lacks an articulation of the different subtopics of web mashup research. This study presents a broad review of mashup literature to help frame the 1subtopics in mashup research. Full article
(This article belongs to the Special Issue Data Mashups)
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