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Case study: Extending content metadata by appending user context

by Svensson, Martin; Pettersson, Oskar

Abstract (Summary)
Recent developments in modern computing and wireless networks allow mobile devices to be connected to the Internet regardless of their physical location. These mobile devices, such as smart phones and PDAs, have turned into powerful multimedia units allowing users to become producers of rich media content. This latest development contributes to the ever-growing amount of digital material existing on the World Wide Web, and at the same time creates a new information landscape that combines content coming from both, the wired and mobile Internet. Thus, it is important to understand the context or settings in which mobile devices are used, and what is the digital content produced by the different users. In order to gain more knowledge about this domain, we have investigated how to extend the standard metadata related to content with a metadata domain describing the context, or settings in which the content has been created.In order to limit the scope of our work, we have focused our efforts in a specific case taking place in a project called AMULETS. The AMULETS-project contains all of the elements we need in order to resemble the contextual setting in a metadata model. Combined with the technical metadata associated to the digital content, we try to display the benefits of capturing the different attributes of the context that were present when the content was generated. Additionally, we have created a proof-of-concept Entity Relation (ER)-diagram which proposes how the metadata models can be implemented in a relational database. As the nature of the thesis is design-oriented, a model has been developed and it will be illustrated throughout this report. The aim of the thesis is to show how it is possible to design new metadata models that combine both relevant attributes of the context and content in order to develop new educational activities supported by location-based services.
Bibliographical Information:

Advisor:

School:Växjö universitet

School Location:Sweden

Source Type:Master's Thesis

Keywords:metadata ubiquitous computing context location based learning

ISBN:

Date of Publication:08/07/2006

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