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International Workshop on Information Search, Integration, and Personalization

ISIP 2013: Information Search, Integration, and Personalization pp 103–118Cite as

MA_THR: Multi-Agent Thai Herb Recommendation from Heterogeneous Data Sources

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 421))

Abstract

Multi-Agent Thai Herb Recommendation system (MA_THR) recommends Thai herb treatments based on a personal patient profile. Thai herb information is collected from available heterogeneous data sources, such as outside databases and websites. The collected information is integrated into a main Thai herb ontology, which is used as a knowledge base of the system. In order to integrate each component into one solution, multi-agent architecture is designed and implemented. The overall system evaluation justified by three human experts gives 89 % precision and 94 % recall.

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Author information

Authors and Affiliations

  1. Knowledge Management and Knowledge Engineering Laboratory, Faculty of Information Technology, King Mongkut’s Institute of Technology Ladkrabang, Bangkok, Thailand

    Ponrudee Netisopakul & Phakphoom Chainapaporn

Authors
  1. Ponrudee Netisopakul
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  2. Phakphoom Chainapaporn
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Corresponding author

Correspondence to Ponrudee Netisopakul .

Editor information

Editors and Affiliations

  1. Kasetsart University, Bangkok, Thailand

    Asanee Kawtrakul

  2. Université de Cergy Pontoise, Cergy-Pontoise, France

    Dominique Laurent

  3. University of Paris South, Orsay, France

    Nicolas Spyratos

  4. Hokkaido University, Sapporo, Japan

    Yuzuru Tanaka

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© 2014 Springer International Publishing Switzerland

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Netisopakul, P., Chainapaporn, P. (2014). MA_THR: Multi-Agent Thai Herb Recommendation from Heterogeneous Data Sources. In: Kawtrakul, A., Laurent, D., Spyratos, N., Tanaka, Y. (eds) Information Search, Integration, and Personalization. ISIP 2013. Communications in Computer and Information Science, vol 421. Springer, Cham. https://doi.org/10.1007/978-3-319-08732-0_8

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  • DOI: https://doi.org/10.1007/978-3-319-08732-0_8

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-08731-3

  • Online ISBN: 978-3-319-08732-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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