Towards semantic search and inference in electronic medical records : an approach using concept-based information retrieval
Koopman, Bevan, Bruza, Peter D., Sitbon, Laurianne, & Lawley, Michael (2011) Towards semantic search and inference in electronic medical records : an approach using concept-based information retrieval. In Khanna, Sankalp, Sattar, Abdul, & Hansen, David (Eds.) Proceedings of the First Australian Workshop on Artificial Intelligence in Health 2011, CSIRO Australian e-Health Research Centre , Murdoch University, Western Australia, pp. 1-10.
For more than a decade research in the field of context aware computing has aimed to find ways to exploit situational information that can be detected by mobile computing and sensor technologies. The goal is to provide people with new and improved applications, enhanced functionality and better use experience (Dey, 2001). Early applications focused on representing or computing on physical parameters, such as showing your location and the location of people or things around you. Such applications might show where the next bus is, which of your friends is in the vicinity and so on. With the advent of social networking software and microblogging sites such as Facebook and Twitter, recommender systems and so on context-aware computing is moving towards mining the social web in order to provide better representations and understanding of context, including social context. In this paper we begin by recapping different theoretical framings of context. We then discuss the problem of context- aware computing from a design perspective.
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|Item Type:||Conference Paper|
|Keywords:||Electronic medical records, Information retrieval, Semantic search and inference, Health informatics|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > LIBRARY AND INFORMATION STUDIES (080700) > Information Retrieval and Web Search (080704)|
|Divisions:||Current > Schools > School of Information Systems|
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Deposited On:||06 Feb 2012 12:47|
|Last Modified:||06 Feb 2012 12:47|
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