International Journal of Knowledge Content Development & Technology

Research Institute for Knowledge Content Development & Technology (건국대학교 지식콘텐츠연구소)
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Conceptual Retrieval of Chinese Frequently Asked Healthcare Questions

  • Liu, Rey-Long (Department of Medical Informatics, Tzu Chi University) ;
  • Lin, Shu-Ling (Department of Medical Informatics, Tzu Chi University)
  • Received : 2015.01.17
  • Accepted : 2015.04.03
  • Published : 2015.06.30
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Abstract

Given a query (a health question), retrieval of relevant frequently asked questions (FAQs) is essential as the FAQs provide both reliable and readable information to healthcare consumers. The retrieval requires the estimation of the semantic similarity between the query and each FAQ. The similarity estimation is challenging as semantic structures of Chinese healthcare FAQs are quite different from those of the FAQs in other domains. In this paper, we propose a conceptual model for Chinese healthcare FAQs, and based on the conceptual model, present a technique ECA that estimates conceptual similarities between FAQs. Empirical evaluation shows that ECA can help various kinds of retrievers to rank relevant FAQs significantly higher. We also make ECA online to provide services for FAQ retrievers.

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