Research of Hierarchy Calculation Based Semantic Dimensionality Reduction
Authors
Q. Zhang, X. Guo, D.D. Lv, S.H. Yuan, Y.Q. Zhang, T. Pan
Corresponding Author
Q. Zhang
Available Online November 2015.
- DOI
- 10.2991/itms-15.2015.215How to use a DOI?
- Keywords
- ontology; hierarchy calculation; dimensionality reduction
- Abstract
Text datas contain rich semantic information. This paper proposed a semantics based on method of text dimension reduction based on ontology. This method utilized Dictionary Library WordNet to discovery semantic relationships in the feature graph of text data and constructed text feature ontologies for each text dataset, including concepts, semantic relations, attributes. Then for text data dimension reduction, we set hierarchy operations on text feature ontologies were given. Finally, an example is demonstrated to show the efficiency and accuracy of the proposed method.
- Copyright
- © 2015, 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 - Q. Zhang AU - X. Guo AU - D.D. Lv AU - S.H. Yuan AU - Y.Q. Zhang AU - T. Pan PY - 2015/11 DA - 2015/11 TI - Research of Hierarchy Calculation Based Semantic Dimensionality Reduction BT - Proceedings of the 2015 International Conference on Industrial Technology and Management Science PB - Atlantis Press SP - 897 EP - 900 SN - 2352-538X UR - https://doi.org/10.2991/itms-15.2015.215 DO - 10.2991/itms-15.2015.215 ID - Zhang2015/11 ER -