Research on Similarity for XML Information Retrieval

DOI

10.2991/emcs-16.2016.476How to use a DOI?

Keywords

XML; Information Retrieval; Structure Similarity; Sematic; Content

Abstract

With the continuous development of Internet and rich resources emerging on the Web, information retrieval based on XML has emerged; the similarity of documents is the basis of information retrieval. A new method SC-Similarity is proposed to compute similarity of XML documents from structure and content in the paper. XML document is expressed as a collection of tuple, the paths are extracted and delete the recurring in order to improve efficiency, and matching fuzzy path using dynamic programming and WordNet; and then the structure similarity between documents are calculated using Hungarian algorithm; the content similarity are estimated by set matching. Finally, the similarity of XML documents is estimated. Two experiments are done to show that the method is effective, the experiment 1 test structural similarity; the information retrieval is test using automatically generated documentation sets and real data sets in the experiment 2, and results show the accuracy may arrive at 95%.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xueli Ren
AU  - Yubiao Dai
PY  - 2016/01
DA  - 2016/01
TI  - Research on Similarity for XML Information Retrieval
BT  - Proceedings of the 2016 International Conference on Education, Management, Computer and Society
PB  - Atlantis Press
SP  - 1897
EP  - 1901
SN  - 2352-538X
UR  - https://doi.org/10.2991/emcs-16.2016.476
DO  - 10.2991/emcs-16.2016.476
ID  - Ren2016/01
ER  -