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A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation

Received: 8 November 2019    Accepted: 11 December 2019    Published: 31 December 2019
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Abstract

The big data has become a key component for intelligent systems and it is very important about data mining and cognitive reasoning in the field of criminal data analysis. Modeling of investigation knowledge is very important to realize the semantic retrieval, knowledge discovery, information push and classification for case data. Ontology modeling combined with the characteristics of the case in the investigation process, a method of ontology construction based on investigation knowledge is proposed in this paper. It builds an organization system of the investigation process at the first, which is described in stages by collecting terminology. Then the ontology of investigation knowledge is constructed. In addition, an instance is added for verification to describe the investigation process in detail. The method has a good advantage of describing the detection process quickly and integrate knowledge according to different investigation stages, formulating a standardized organization mode and providing standardized knowledge assistance in the investigation process.

Published in International Journal of Data Science and Analysis (Volume 5, Issue 6)
DOI 10.11648/j.ijdsa.20190506.17
Page(s) 148-158
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Big Data, Case Investigation, Ontology Model, Stage Construction, Clue Analysis, Semantic Reasoning

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Cite This Article
  • APA Style

    Han Zhong, Hongzhou Zhang, Jianqian Zhang, Ziyang Yuan. (2019). A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation. International Journal of Data Science and Analysis, 5(6), 148-158. https://doi.org/10.11648/j.ijdsa.20190506.17

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    ACS Style

    Han Zhong; Hongzhou Zhang; Jianqian Zhang; Ziyang Yuan. A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation. Int. J. Data Sci. Anal. 2019, 5(6), 148-158. doi: 10.11648/j.ijdsa.20190506.17

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    AMA Style

    Han Zhong, Hongzhou Zhang, Jianqian Zhang, Ziyang Yuan. A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation. Int J Data Sci Anal. 2019;5(6):148-158. doi: 10.11648/j.ijdsa.20190506.17

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  • @article{10.11648/j.ijdsa.20190506.17,
      author = {Han Zhong and Hongzhou Zhang and Jianqian Zhang and Ziyang Yuan},
      title = {A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation},
      journal = {International Journal of Data Science and Analysis},
      volume = {5},
      number = {6},
      pages = {148-158},
      doi = {10.11648/j.ijdsa.20190506.17},
      url = {https://doi.org/10.11648/j.ijdsa.20190506.17},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijdsa.20190506.17},
      abstract = {The big data has become a key component for intelligent systems and it is very important about data mining and cognitive reasoning in the field of criminal data analysis. Modeling of investigation knowledge is very important to realize the semantic retrieval, knowledge discovery, information push and classification for case data. Ontology modeling combined with the characteristics of the case in the investigation process, a method of ontology construction based on investigation knowledge is proposed in this paper. It builds an organization system of the investigation process at the first, which is described in stages by collecting terminology. Then the ontology of investigation knowledge is constructed. In addition, an instance is added for verification to describe the investigation process in detail. The method has a good advantage of describing the detection process quickly and integrate knowledge according to different investigation stages, formulating a standardized organization mode and providing standardized knowledge assistance in the investigation process.},
     year = {2019}
    }
    

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    T1  - A Novel Ontology Construction and Reasoning Approach Based on the Case Investigation
    AU  - Han Zhong
    AU  - Hongzhou Zhang
    AU  - Jianqian Zhang
    AU  - Ziyang Yuan
    Y1  - 2019/12/31
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    N1  - https://doi.org/10.11648/j.ijdsa.20190506.17
    DO  - 10.11648/j.ijdsa.20190506.17
    T2  - International Journal of Data Science and Analysis
    JF  - International Journal of Data Science and Analysis
    JO  - International Journal of Data Science and Analysis
    SP  - 148
    EP  - 158
    PB  - Science Publishing Group
    SN  - 2575-1891
    UR  - https://doi.org/10.11648/j.ijdsa.20190506.17
    AB  - The big data has become a key component for intelligent systems and it is very important about data mining and cognitive reasoning in the field of criminal data analysis. Modeling of investigation knowledge is very important to realize the semantic retrieval, knowledge discovery, information push and classification for case data. Ontology modeling combined with the characteristics of the case in the investigation process, a method of ontology construction based on investigation knowledge is proposed in this paper. It builds an organization system of the investigation process at the first, which is described in stages by collecting terminology. Then the ontology of investigation knowledge is constructed. In addition, an instance is added for verification to describe the investigation process in detail. The method has a good advantage of describing the detection process quickly and integrate knowledge according to different investigation stages, formulating a standardized organization mode and providing standardized knowledge assistance in the investigation process.
    VL  - 5
    IS  - 6
    ER  - 

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Author Information
  • College of Information Technology and Network Security, People’s Public Security University of China, Beijing, China

  • College of Information Technology and Network Security, People’s Public Security University of China, Beijing, China

  • College of Information Technology and Network Security, People’s Public Security University of China, Beijing, China

  • College of Information Technology and Network Security, People’s Public Security University of China, Beijing, China

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