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MA_THR: Multi-Agent Thai Herb Recommendation from Heterogeneous Data Sources
Author(s)
Netisopakul, Ponrudee
Chainapaporn, Phakphoom
Date Issued
January 1, 2014
Type
Conference Paper
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. © Springer International Publishing Switzerland 2014.
Citation
Communications in Computer and Information Science, 421 CCIS, 103-118, 2014