Tech Reports
Tech Report kmi-05-10 Abstract
The Modelling, Capture, and Use of Social Context in Online Tasks
Techreport ID: kmi-05-10
Date: 2005
Author(s): Tom Heath
This report consists of three parts. Part I reviews how users online tasks have been conceptualised in previous literature, and how researchers have defined and used context in support of user tasks. Novel conceptualisations of user tasks online and user context factors are then presented and contrasted with earlier work, before a discussion of how these context factors have been supported in previous applications. The modelling of social context is then considered in greater detail, with particular focus on aspects such as the nature of social relationships and trust between individuals. Research gaps identified through this review of the literature are summarised to conclude this section. Part II addresses specific outputs of the research to date. In particular, the conceptualisations of user tasks online and user contexts are discussed in more detail, including coverage of the assumptions they are based upon and the background to their development. Specific technical work carried out is also described, including the planning of a social context application, analysis of tools and technologies that may be utilised, and development of relevant technical skills. Drawing on the gaps identified in Part I of the report, Part III introduces the questions that will be addressed by the research. After justifying the research questions, the methods that will be used are outlined and discussed, including overall plans for how the research will be carried out.
Future Internet
KnowledgeManagementMultimedia &
Information SystemsNarrative
HypermediaNew Media SystemsSemantic Web &
Knowledge ServicesSocial Software
Semantic Web and Knowledge Services is...
Our research in the Semantic Web area looks at the potentials of fusing together advances in a range of disciplines, and applying them in a systemic way to simplify the development of intelligent, knowledge-based web services and to facilitate human access and use of knowledge available on the web. For instance, we are exploring ways in which tnatural language interfaces can be used to facilitate access to data distributed over different repositories. We are also developing infrastructures to support rapid development and deployment of semantic web services, which can be used to create web applications on-the-fly. We are also investigating ways in which semantic technology can support learning on the web, through a combination of knowledge representation support, pedagogical theories and intelligent content aggregation mechanisms. Finally, we are also investigating the Semantic Web itself as a domain of analysis and performing large scale empirical studies to uncover data about the concrete epistemologies which can be found on the Semantic Web. This exciting new area of research gives us concrete insights on the different conceptualizations that are present on the Semantic Web by giving us the possibility to discover which are the most common viewpoints, which viewpoints are mutually inconsistent, to what extent different models agree or disagree, etc...
Our aim is to be at the forefront of both theoretical and practical developments on the Semantic Web not only by developing theories and models, but also by building concrete applications, for a variety of domains and user communities, including KMi and the Open University itself.
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