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Title: A unified framework for thai metadata extraction using case-based reasoning
Authors: Krisda Khankasikam
Nopasit Chakpitak
Authors: Krisda Khankasikam
Nopasit Chakpitak
Keywords: Computer Science
Issue Date: 1-Dec-2008
Abstract: 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.
Appears in Collections:CMUL: Journal Articles

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