Thai AGROVOC ontology base for agricultural information retrieval
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Transcript of Thai AGROVOC ontology base for agricultural information retrieval
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Thai AGROVOC Ontology Base for
Agricultural Information Retrieval
Fifth Agricultural Ontology Workshop27-29 April 2004
Aree [email protected]
Thai National AGRIS CentreKasetsart University, Bangkok
Thailand
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Presentation Outline
Introducing Thai Agris Centre Present Obstacles Strategies and Solution for improvement Anticipated Outcomes How was the AGROVOC developed? Utilization and Demonstration Conclusion
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Introducing Thai National AGRIS Centre
Thai National AGRIS Centre is 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 Technology for more than
24 years.
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The Centre’s Missions
To be Thai Agricultural Knowledge Centre To collect and produce agricultural information To create Thailand Agricultural Database To coordinate and partner with 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
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Present obstacles Linguistic phenomena
Same form but different meaning No words segmentation
การสมัมนาเชงิปฏิบติัการเรื่องออนโทโลยเีซอรว์สิด้านการเกษตร ครัง้ท่ี 5
Fifth Agricultural Ontology Service Workshop Lexicon coverage
Technical terms and Name Entities Hard to maintain
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Indexing in English is not efficient and erroneous
Data retrieving deficiency (the retrieved document do not match the need of users)
Language barrier
Present obstacles (cont.)
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Strategies for improvement
Increase indexing efficiency Create standard words for making
index in Thai Automatic assigned English descriptor
Increase retrieval efficiency Allow comprehensive and fast data
retrieval Multilingual document retrieval
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Contributions of Thai AGROVOC ontology to the improvement of knowledge
management
Higher Quality of Knowledge repository Knowledge base for intelligent retrieval
system Automatic knowledge summarization
and machine translation
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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.
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Subject 1 Subject 2 Subject 3 Subject…
Specialist 1 Specialist 2 Specialist 3 Specialist…
Thai Agricultural Thesaurus Development ProcessThai Agricultural Thesaurus Development Process
ThaiAgricultural
Database
Vocabulary•Natural Language Term•Controlled Term
Dictionaries
TextsModify
Frequency of words utilization
Experts
Thai New Terms
Non Descriptors
New Terms
Descriptors
DescriptorNon-Descriptor
FAO AGROVOC
NewDescriptor
New-NonDescriptor
Create HierarchicalRelationship
Processing
Modify
Thai AgriculturalThesaurus
New term number identification
Translate into English
AddingNew Term
Thai AGROVOC
Check duplicationCorrection
Thai AGROVOC Preliminary Edition
DescriptorNon-Descriptor
ThaiAGROVOC Term
Correction
Thai AGROVOC 1st Edition
Experts
Modify
Public Hearing
Expert Comment
FAOAGROVOC
Translate
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Thai Agricultural Database
Thai Agricultural Terms in Thai AGROVOC ProcessThai Agricultural Terms in Thai AGROVOC Process
Titles41,945
Descriptors50,660
Deletereplicated term
Thai Agricultural Terms47,692
Check withAGROVOC
Replicated with AGROVOC
(4,809 descriptors)11,582
Not replicated with AGROVOC
36,110
Assign to Thai AGROVOC New Terms
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Thai AGROVOC 1st edition (http://pikul.lib.ku.ac.th/)
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Thai AGROVOC for indexing
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Thai AGROVOC for retrieval
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Thai AGROVOC for Intelligent search
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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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