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Tech Report kmi-12-03 Abstract


Consumer Activity Data: Usages and Challenges
Techreport ID: kmi-12-03
Date: 2012
Author(s): Mathieu d'Aquin,Keerthi Thomas
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Interacting online with various organisations (eCommerce, employer, etc.) is nowadays unavoidable. There is a current trend both in academia and the industry taking as a starting point that such personal data is of value to the user, and that putting them out of his/her control might have problematic implications. A proposed solution here is to provide them with greater access to and control over personal data collected out of their interactions with an organisation. It is worth noticing that this idea is actually at the basis of the Data Protection Act, which is providing a legal framework to enforce transparency and user control over the collection of personal data. The current focus on consumer data is however both more concerned with the technological aspects of ensuring transparency, and proposing to go a step further by enabling transparency “by default” rather than on request. Personal data in such discussions can take many different forms. What we are concerned with here is activity data. In short, we consider activity data as any type of information that is being generated as a side effect of an individual interacting with an organisation, system or set of resources. The basic hypothesis underlying the study described in this report is that, while rarely included in the discussions around consumer data, as for any kind of personal information, activity data are valuable to users and it is therefore worth investigating the mechanisms, issues and challenges by which they could be made more transparent and more controllable.

Publication(s):

This is a report presenting the results of the UCIAD JISC funded project.
 
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Semantic Web and Knowledge Services
"The Semantic Web is an extension of the current web in which information is given well-defined meaning, better enabling computers and people to work in cooperation" (Berners-Lee et al., 2001).

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...

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