Estimation of Structural Similarity of XML Document Based on Frequency and Path
Xueli Ren, Yubiao Dai
Available Online January 2016.
- https://doi.org/10.2991/emcs-16.2016.66How to use a DOI?
- XML; Structural similarity; Frequency; Sematic; Tuple
- 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 method is proposed to compute similarity of XML documents based on path and frequency 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, tag is matched by WordNet; and then path similarity is computed by the fuzzy longest common subsequence and frequency; finally, the structure similarity between documents are calculated. Two experiments are done to show that the method is effective, the experiment 1 test structural similarity of 15 XML documents from 3 DTDs; the similarity computing is applied in the documents classification for real data sets in the experiment 2, and results show the accuracy may arrive at 100%
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Xueli Ren AU - Yubiao Dai PY - 2016/01 DA - 2016/01 TI - Estimation of Structural Similarity of XML Document Based on Frequency and Path BT - International Conference on Education, Management, Computer and Society PB - Atlantis Press SP - 272 EP - 275 SN - 2352-538X UR - https://doi.org/10.2991/emcs-16.2016.66 DO - https://doi.org/10.2991/emcs-16.2016.66 ID - Ren2016/01 ER -