2012 ©
             Publication
Journal Publication
Research Title Ontology-based Semantic Search System for Drought Management 
Date of Distribution 29 October 2013 
Conference
     Title of the Conference The International Symposium on Natural Language Processing 2013 
     Organiser Sirindhorn International Institute of Technology (SIIT, Thammasat U., Thailand) National Electronics and Computer Technology Center (NECTEC, Thailand) Rangsit University (RSU, Thailand) Prince of Songkla University (PSU, Thailand) 
     Conference Place Merlin Beach Resort 
     Province/State Phuket 
     Conference Date 28 October 2013 
     To 30 October 2013 
Proceeding Paper
     Volume October 2013 
     Issue
     Page 163-170 
     Editors/edition/publisher  
     Abstract This paper describes the research project on the development of an ontology-based semantic search system for drought management of the Chi River Basin (CRB), Thailand. The research methods included Ontology Development 101 by adopting Noy & McGuinness (2001) and Ontology-based Application Management framework by adopting Buranarach et al. (2012). Seventeen experts including ten experts in the areas of environmental engineering, water resources engineering, and GIS, and seven government officers who has been involving with water management in the CRB were interviewed. The experts also took part in the processes of developing the knowledge domain, classifying, and structuring the knowledge for water resources management in the CRB. This paper is mainly focused on the ontology development process for Drought management information which comprised of three types of ontologies: 1) River Basin Ontology 2) Statistic Ontology, and 3) Task Ontology. Approximately 154 concepts of drought management have been defined and classified. The ontology was constructed by using the Hozo Ontology Editor. An example of semantic search system developed by using the drought management ontology ia shown in the paper. The result will be useful for the ontology-based semantic search and knowledge visualization system applications, which will provide extensive capabilities for accessibility and decision-making on drought management of the Chi River Basin.  
Author
517080003-1 Mr. NATTAPONG KAEWBOONMA [Main Author]
Humanities and Social Sciences Doctoral Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
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