Research on Similarity for XML Information Retrieval
- https://doi.org/10.2991/emcs-16.2016.476How to use a DOI?
- XML; Information Retrieval; Structure Similarity; Sematic; Content
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%.
- © 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/).
Cite this article
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 - https://doi.org/10.2991/emcs-16.2016.476 ID - Ren2016/01 ER -