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Word similarity algorithm for merging Thai Herb information from heterogeneous data sources
Author(s)
Chainapaporn, Phakphoom
Netisopakul, Ponrudee
Date Issued
January 1, 2013
Type
Conference Paper
Abstract
This paper proposes two processes for merging Thai Herb information obtained from heterogeneous data sources. The objective is to combine different formats of Thai herb information into one consistent representation. The processes are implemented in a Sourcing and Merging Agent (SMA) of a Multi-Agent Thai Herb Recommendation system (MATHR). The first process aims to find and merge the same Thai herb with different names. The second process aims to find synonyms of symptoms. Experiments give 93% accuracy of merging Thai herb information using names and 97% accuracy of finding the similarity between symptoms. © 2013 IEEE.
Citation
Proceedings 2013 International Conference on Information Technology and Electrical Engineering Intelligent and Green Technologies for Sustainable Development Icitee 2013, 159-163, 2013