Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications

An Improved Algorithm of Similarity Based on Clustering in XML

Authors
Puqing Wang
Corresponding Author
Puqing Wang
Available Online May 2016.
DOI
10.2991/wartia-16.2016.176How to use a DOI?
Keywords
XML, clustering, similarity, diversification, weight.
Abstract

There are two query methods of the structure query and keyword query on XML query. The keyword query is a more common way of XML query, which is often not accurate to the ambiguous of the keyword. In ordered to change it, the keyword cluster analysis is introduced to this paper, and the similarity of the diversified weight clustering to improve the accuracy of clustering, which can improve the accuracy of the keyword query on XML query.

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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Volume Title
Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
Series
Advances in Engineering Research
Publication Date
May 2016
ISBN
978-94-6252-195-7
ISSN
2352-5401
DOI
10.2991/wartia-16.2016.176How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Puqing Wang
PY  - 2016/05
DA  - 2016/05
TI  - An Improved Algorithm of Similarity Based on Clustering in XML
BT  - Proceedings of the 2016 2nd Workshop on Advanced Research and Technology in Industry Applications
PB  - Atlantis Press
SP  - 835
EP  - 839
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-16.2016.176
DO  - 10.2991/wartia-16.2016.176
ID  - Wang2016/05
ER  -