Chalmers, Dan, Dulay, Naranker and Sloman, Morris (2004) Meta data to support context aware mobile applications. In: Proceedings of 2004 IEEE International Conference on Mobile Data Management. IEEE Computer Society, pp. 199-211. ISBN 0-7695-2070-7

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Abstract

The greater sophistication and availability of mobile computing devices is enabling the application of computing to new tasks and applications to be experienced in a wide range of contexts. To facilitate such applications it is necessary to adapt the applications and the data they display to operate within the limitations of the context of use, take advantage of the strengths of the devices and best support the users in their tasks. A part of the solution to this issue is the description of the data available to the applications. Meta data may describe the structure and properties of information and data. We achieve this by separating the semantic elements of the information from the syntactic variants which realise them in order to form documents. In this paper we describe a new meta data model which can encode this description. We provide example meta data and illustrate how this may lead to better application usability than current simplistic or constrained approaches, through contextual mediation.

Item Type:	Book Section
Additional Information:	Originality: This paper describes an XML meta-data system for describing complex documents, that takes a wider view than the standards of the time. The motivation is allowing selection of data to reflect the context of use. A conceptual model of data elements, and flexible set of properties including semantics, is described, which maps to a model of alternative presentations of data and the structure of data. Rigour: The system of encoding is described in detail, with two case studies using maps and web pages. Significance: 2 external citations in google scholar. Described as a general approach meeting a need in context-aware adaptation of content in the textbook "Distributed Systems Concepts and Design" by Coulouris, Dollimore, Kindberg. The conference accepted 27% of submissions as research-track papers after full peer-review, and continues as an annual event now in its 8th year.
Schools and Departments:	School of Engineering and Informatics > Informatics
Subjects:	Q Science > QA Mathematics > QA0075 Electronic computers. Computer science
Depositing User:	Chris Keene
Date Deposited:	18 Jul 2007
Last Modified:	16 Sep 2019 15:34
URI:	http://sro.sussex.ac.uk/id/eprint/1216
Google Scholar:	8 Citations

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