Word similarity algorithm for merging Thai Herb information from heterogeneous data sources

Author

Chainapaporn, Phakphoom ; Netisopakul, Ponrudee

Author_Institution

Fac. of Inf. Technol., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand

fYear

2013

fDate

7-8 Oct. 2013

Firstpage

159

Lastpage

163

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 (MA_THR). 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.

Keywords

biology computing; botany; medical computing; multi-agent systems; recommender systems; MA_THR; SMA; Thai herb information merging; heterogeneous data sources; merging agent; multiagent Thai herb recommendation system; sourcing agent; symptom synonyms; word similarity algorithm; Thai herb information; heterogeneous data source; merging algorithm; word similarity;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Technology and Electrical Engineering (ICITEE), 2013 International Conference on

Conference_Location

Yogyakarta

Print_ISBN

978-1-4799-0423-5

Type

conf

DOI

10.1109/ICITEED.2013.6676231

Filename

6676231