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Application of Ontology in the Web Information Retrieval

by Zimeng Xing1, Lina Wang1, Wenbo Xing2, Yongjun Ren3, Tao Li4, Jinyue Xia5

School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
School of Criminal Science and Technology, Nanjing Forest Police College, Nanjing, 210023, China.
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
School of Electronics and Information Engineering, Nanjing University of Information Science and Technology, Nanjing, 210044, China.
International Business Machines Corporation (IBM), New York, USA.

*Corresponding Author: Lina Wang. Email: email.

Journal on Big Data 2019, 1(2), 79-88. https://doi.org/10.32604/jbd.2019.05806

Abstract

In this paper, the research advances of ontology and its application are reviewed firstly. With the development of ontology technology, subject-oriented web information retrieval technology combining ontology has been becoming one of the hot scientific issues. The innovative method of the semantic web technology combined with the traditional information retrieval technology is put forward, and the related algorithm based on ontology for judging the relevancy with different topics is also represented, and has proved to be effective in given experiments.

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Cite This Article

APA Style
Xing, Z., Wang, L., Xing, W., Ren, Y., Li, T. et al. (2019). Application of ontology in the web information retrieval. Journal on Big Data, 1(2), 79-88. https://doi.org/10.32604/jbd.2019.05806
Vancouver Style
Xing Z, Wang L, Xing W, Ren Y, Li T, Xia J. Application of ontology in the web information retrieval. J Big Data . 2019;1(2):79-88 https://doi.org/10.32604/jbd.2019.05806
IEEE Style
Z. Xing, L. Wang, W. Xing, Y. Ren, T. Li, and J. Xia, “Application of Ontology in the Web Information Retrieval,” J. Big Data , vol. 1, no. 2, pp. 79-88, 2019. https://doi.org/10.32604/jbd.2019.05806

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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