Volume 3 Number 1 (Feb. 2011)
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IJCEE 2011 Vol.3(1): 60-65 ISSN: 1793-8163
DOI: 10.7763/IJCEE.2011.V3.293

Metadata Extraction Using Case-based Reasoning for Heterogeneous Thai Documents

Krisda Khankasikam

Abstract—This paper reports an experience of human-assisted process to extract metadata from Thai documents. Nowadays, a number of Thai archives are placed online for sharing increasingly because the Internet infrastructure is powerful preserving and sharing knowledge require appropriate processes. Metadata, data about data, is a very useful information technology today because it helps users to differentiate significant from non-significant documents. The manually harvesting of these metadata elements is highly labor-intensive, costly and time-consuming then automated is a key to successful preservation. The experiment, a prototype system by using Case-based Reasoning algorithm for metadata extraction is introduced. Cased-based Reasoning is an approach in artificial intelligence that differs from other approaches. The Thai metadata extraction were performed on some Thai articles which content related to sufficient economy and Thai folk wisdom and was evaluated the approach by using the standard precision, recall and f-measure indices. The study illustrated that this approach helps knowledge workers in a domain to come together, share educational material and greatly reduce the labor work of metadata creation process.

Index Terms—Case-based Reasoning, Metadata Extraction, Dublin Core, Information Retrieval.

K. Khankasikam is with the Department of Applied Science, Faculty of Science and Technology, Nakhon Sawan Rajabhat University, Muang Nakhon Sawan, 60000, Thailand. (phone: +66-81688-0066; e-mail:KrisdaK@ gmail.com).

Cite: Krisda Khankasikam, "Metadata Extraction Using Case-based Reasoning for Heterogeneous Thai Documents," International Journal of Computer and Electrical Engineering vol. 3, no. 1, pp. 60-65, 2011.

General Information

ISSN: 1793-8163
Frequency: Semiyearly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, Engineering & Technology Digital Library, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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