A unified framework for thai metadata extraction using case-based reasoning
Metadata is a very popular word in information technology today because it helps users to differentiate significant documents from non-significant documents. With the growth of the Internet and related tools, there has been a rapid growth of online resources. However, lack of metadata available for...
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| Main Authors: | , |
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| Format: | Conference Proceeding |
| Published: |
2018
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| Subjects: | |
| Online Access: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=62949102193&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/60274 |
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| Institution: | Chiang Mai University |
| Summary: | Metadata is a very popular word in information technology today because it helps users to differentiate significant documents from non-significant documents. With the growth of the Internet and related tools, there has been a rapid growth of online resources. However, lack of metadata available for these resources stops their discovery and dissemination over the Internet. The process for manual metadata extraction is time-consuming, costly, and labor-extensive. This paper describes a framework for automatic metadata extraction from electronic Thai documents. The system consists of three main components: a case retrieval module for comparing problem case and stored case using nearest neighbor retrieval technique, a metadata creation module for automatically extracting metadata from electronic Thai documents using Thai information extraction techniques, and a metadata verification module for correcting the errors in extracted metadata. The experimental results show that using the proposed framework could reduce the labor work of Thai metadata creation process. © 2008 IEEE. |
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