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Thai AGROVOC Ontology Base for Agricultural Information Retrieval

Thai AGROVOC Ontology Base for Agricultural Information Retrieval. Aree Thunkijjanukij libarn@ku.ac.th Thai National AGRIS Centre Kasetsart University, Bangkok Thailand. Fifth Agricultural Ontology Workshop 27-29 April 2004. Presentation Outline. Introducing Thai Agri s Centre

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Thai AGROVOC Ontology Base for Agricultural Information Retrieval

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  1. Thai AGROVOC Ontology Base for Agricultural Information Retrieval Aree Thunkijjanukij libarn@ku.ac.th Thai National AGRIS Centre Kasetsart University, Bangkok Thailand Fifth Agricultural Ontology Workshop 27-29 April 2004

  2. Presentation Outline • Introducing Thai Agris Centre • Present Obstacles • Strategies and Solution for improvement • Anticipated Outcomes • How was the AGROVOC developed? • Utilization and Demonstration • Conclusion

  3. Introducing Thai National AGRIS Centre Thai National AGRIS Centreis the centre for agricultural information at the national level. It was established in 1980 and has been operating within the network of AGRIS-International Information System for the Agricultural Sciences and Technologyfor more than 24 years.

  4. The Centre’s Missions • To be Thai Agricultural Knowledge Centre • To collect and produce agricultural information • To create Thailand Agricultural Database • To coordinate and partnerwith AGRIS/FAO • To provide international agricultural information service • To establish agricultural information network within the country • To encourage the development of agricultural information system in Thailand

  5. Present obstacles • Linguistic phenomena • Same form but different meaning • No words segmentation การสัมมนาเชิงปฏิบัติการเรื่องออนโทโลยีเซอร์วิสด้านการเกษตร ครั้งที่ 5 Fifth Agricultural Ontology ServiceWorkshop • Lexicon coverage • Technical terms and Name Entities • Hard to maintain

  6. Present obstacles (cont.) • Indexing in English is not efficient and erroneous • Data retrieving deficiency (the retrieved document do not match the need of users) • Language barrier

  7. Strategies for improvement • Increase indexingefficiency • Create standard words for making index in Thai • Automatic assigned English descriptor • Increaseretrieval efficiency • Allow comprehensive and fast data retrieval • Multilingual document retrieval

  8. Contributions of Thai AGROVOC ontology to the improvement ofknowledge management • Higher Quality of Knowledge repository • Knowledge base for intelligent retrieval system • Automatic knowledge summarization and machine translation

  9. Thai AGROVOC Development • Project financial support from Kasetsart University Research and Development Institute and technical support from FAO. • Two phases implementation, developing Thai AGROVOC and adding words in local language and maintenance.

  10. Thai AGROVOC 1st edition(http://pikul.lib.ku.ac.th/)

  11. Thai AGROVOC for indexing

  12. Thai AGROVOC for retrieval

  13. Thai AGROVOC for Intelligent search

  14. Capacity building: the collaboration with computer engineering research unit, NaiST Laboratory • Reduce cost and increase performance,Creating ontology base is very time and cost consuming.The endeavor has to utilize countless experts in many fields, in addition to a lot of personnel for data recording and processing. • Maintenance thesaurus in terms of adding word and create hierarchical relation is extremely difficult due to lack of efficient tool.

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