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Ontological Representation of Legal Information and an Idea of Crowdsourcing for Its Filling

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Recent Developments in Data Science and Intelligent Analysis of Information (ICDSIAI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 836))

Abstract

This article represents consideration of the creation process of legal knowledge ontology for study purposes. The peculiarities of legal information and experience of legal knowledge formalization have been scrutinized. The peculiarities of complex systems self-organization have been considered and application of these principles to legal information on the basis of four features of self-organization has been proved. It has been determined that the most reasonable way of legal knowledge description is ontology, as a basis for forming of knowledge structure. The review of existing ontologies that are used in the field of law has been carried out. Mathematical description of the knowledge base structure has been introduced. The software package has been developed for working with legal knowledge ontology. This package of programs is used by students at the Yaroslav Mudryi National Law University. The method of collective filling and editing of the knowledge base is proposed to be used as the basis of methodology for working with the knowledge base. The ontology of legal knowledge at the University has been created not only by experts but by all the users. Principles of crowdsourcing are considered as a basic technique of technological process of the ontology filling. Results of filling of this ontology by a number of users have been briefly reviewed. The legal knowledge ontology that is being created is proposed to be used for forming an individual learning style of students.

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Author information

Authors and Affiliations

  1. Yaroslav Mudryi National Law University, Kharkiv, Ukraine

    Anatolii Getman, Volodymyr Karasiuk & Oleg Shynkarov

  2. National Academy of Law Science of Ukraine, Kharkiv, Ukraine

    Yevhen Hetman

Authors
  1. Anatolii Getman
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  2. Volodymyr Karasiuk
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  3. Yevhen Hetman
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  4. Oleg Shynkarov
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Corresponding author

Correspondence to Volodymyr Karasiuk .

Editor information

Editors and Affiliations

  1. Applied Mathematics Department, Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine

    Oleg Chertov

  2. Department of Economics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA

    Tymofiy Mylovanov

  3. Department of Intelligent Information Systems, Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

    Yuriy Kondratenko

  4. Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

    Janusz Kacprzyk

  5. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

  6. Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia

    Vadim Stefanuk

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Getman, A., Karasiuk, V., Hetman, Y., Shynkarov, O. (2019). Ontological Representation of Legal Information and an Idea of Crowdsourcing for Its Filling. In: Chertov, O., Mylovanov, T., Kondratenko, Y., Kacprzyk, J., Kreinovich, V., Stefanuk, V. (eds) Recent Developments in Data Science and Intelligent Analysis of Information. ICDSIAI 2018. Advances in Intelligent Systems and Computing, vol 836. Springer, Cham. https://doi.org/10.1007/978-3-319-97885-7_18

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