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Tech Report kmi-04-21 Abstract


Healthcare Compunetics: An End-to-End Architecture for Self-Care Service Provision
Techreport ID: kmi-04-21
Date: 2004
Author(s): Andy Marsh, George Roussos and Yanna Vogiazou
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Extending healthcare to the community introduces a number of new challenges for the development of information technology infrastructures. A core component of the new self-care infrastructures will be wearable or implantable sensors and actuators that monitor vital signs and take proactive actions to respond to observed clinical conditions. In this paper, we introduce the three core elements of the Healthcare Compunetics architecture developed with a view to support the new self-care services: i-notes is a system that extends the electronic patient record to include non-verified data collection by the sensors; i-WAND is a wearable device that offers pluggable body area connectivity, local storage and processing and remote communication to the diagnostic service centre; and the VMW Protocol which allows sensors to communicate effectively with remote healthcare servers. Finally, we conclude this discussion with a brief overview of our current work on interaction design.

Publication(s):

Appeared in: The Body Sensor Networks Workshop, Imperial College, London, UK, 6-7 April 2004
 
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Semantic Web and Knowledge Services is...


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...

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.