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A Framework of Collective Intelligence for Building Virtual Agriculture Knowledge Repository and Services

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  7th World Congress on Computers in Agriculture Conference Proceedings, 22-24 June 2009, Reno, Nevada (electronic only)  711P0409e.(doi:10.13031/2013.29042)
Authors:   Masahiko Nagai, Naiyana Sahavechaphan, Vasuthep Khunthong, Asanee Kawtrakul, Ryosuke Shibasaki
Keywords:   Collective Intelligence, PMM Model, Information grid, Ontology, Semantic MediaWiki

Providing information and knowledge services with collecting and maintaining weakly structured text sources is time-consuming activities. This project targets for building specific services and knowledge infrastructures to support decision-making and problem solving in Agriculture domains. It is composed of three essential components: iExtraction -- a tool that semantically extracts relevant information from textual representation sources embedded in each individual and related web site and transforms them into structured and standard format, iGrid -- a framework that supports virtual knowledge repository as well as discovers and integrates structured information distributed over different sources. Semantic Media Wiki is, then, applied to register and update of agricultural information as a semantic network dictionary. This constructed agricultural information is used for the reference information for interoperability for specialist and farmers, iVisualization -- a sophisticated tool that visually presents information in a specific semantic network model, called PMM: Problem-huMan-Method model. Moreover, in order to invite contributions from the user community in order to share the knowledge both tacit and explicit knowledge without the language barrier, it is necessary to provide more sophisticated tools and systems, such as reverse dictionary, ontology-based knowledge sharing and machine-aided translation for sustainable development of agricultural knowledge virtual repository and services .This collaboration project is currently implemented by using Rice domain as a case study. The generated PMM consists of Rice Disease Problems identification, rice huMan experts who could solve that disease problem and the Method for solving the disease problem both in corrective and preventive ways.

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