Automatically generated consumer health metadata using semantic spaces
HDKM '08 Proceedings of the second Australasian workshop on Health data and knowledge management - Volume 80
Journal of the American Society for Information Science and Technology
Semantic Space models for classification of consumer webpages on metadata attributes
Journal of Biomedical Informatics
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications
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Recent research indicates people are increasingly looking to the Internet for health information. Equally however, there is increasing frustration with the sheer volume, lack of relevance and at times dubious quality of information retrieved. The Breast Cancer Knowledge Online project sought to build a user sensitive portal to assist women with breast cancer and their families overcome these problems and to facilitate the retrieval of information which would better meet the individual and changing needs of users. The research outcomes discussed in this paper describe the approach taken to building the metadata-driven portal, the outcome of usability testing of the portal, and the limitations of such an ambitious project.