A Survey of Thai Knowledge Extraction for the Semantic Web Research and Tools
Author:
Affiliation:
1. Faculty of Information Technology, King Mongkut's Institute of Technology Ladkrabang (KMITL)
2. Intern. Lab. of Information Science and Semantic Technologies, ITMO University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software
Link
https://www.jstage.jst.go.jp/article/transinf/E101.D/4/E101.D_2017DAR0001/_pdf
Reference54 articles.
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2. [2] A. Gangemi, “A comparison of knowledge extraction tools for the semantic web,” The Semantic Web: Semantics and Big Data, Proc. 10th Intern. Conference, ESWC 2013, Montpellier, France, May 26-30, 2013, ed. P. Cimiano, Ó. Corcho, V. Presutti, L. Hollink, and S. Rudolph, Lecture Notes in Computer Science, vol.7882, pp.351-366, Springer, 2013.
3. [3] N. Tongtep and T. Theeramunkong, “Simultaneous character-cluster-based word segmentation and named entity recognition in thai language,” Proc. 5th Intern. Conference on Knowledge, Information, and Creativity Support Systems, KICSS'10, Berlin, Heidelberg, vol.6746, pp.216-225, Springer-Verlag, 2011. 10.1007/978-3-642-24788-0_20
4. [4] N. Tongtep and T. Theeramunkong, “Discovery of predicate-oriented relations among named entities extracted from thai texts,” IEICE Transactions, vol.95-D, no.7, pp.1932-1946, 2012. 10.1587/transinf.e95.d.1932
5. [5] C. Haruechaiyasak, S. Kongyoung, and C. Damrongrat, “Learnlexto: A machine-learning based word segmentation for indexing thai texts,” Intern. Conference on Information and Knowledge Management, CIKM 2008, pp.85-88, Napa Valley, CA, Oct. 2008. 10.1145/1460027.1460042
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