Efficient XML Retrieval Service with Complete Path Representation
Author:
Affiliation:
1. Institute of Engineering Science and Technology, National Kaohsiung First University of Science and Technology
2. Department of Information Engineering, I-Shou 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/E96.D/4/E96.D_906/_pdf
Reference30 articles.
1. [1] World Wide Web Consortium. The document object model. http://www.w3.org/DOM/
2. [2] T. Dalamagas, T. Cheng, K.J. Winkel, and T. Sellis, “A methodology for clustering XML documents by structure,” Inf. Syst., vol.31, no.3, pp.187-228, 2006.
3. [3] T. Dalamagas, T. Cheng, K.J. Winkel, and T. Sellis, “Clustering XML documents using structural summaries,” EDBT Work-shop on Clustering Information over the Web (ClustWeb04), Heraklion, Greece, 2004.
4. [4] A. Nierman and H.V. Jagadish, “Evaluating structural similarity in XML documents,” Fifth International Workshop on the Web and Databases (WebDB 2002), 2002.
5. [5] S. Flesca, G. Manco, E. Masciari, L. Pontieri, and A. Pugliese, “Fast detection of XML structural similarity,” IEEE Trans. Knowl. Data Eng., vol.17, no.2, pp.160-175, Feb. 2004.
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