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Mining and Indexing of Legal Natural Language Texts with Domain and Task Ontology

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Book cover Electronic Governance and Open Society: Challenges in Eurasia (EGOSE 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 947))

Abstract

Today’s legislation lags behind the needs and practices of the Internet, electronic governance and digital economy in general. It is widely believed that enhancement of the legal system with IT to facilitate law-making and law enforcement can contribute to improvement of business and social environment, as well as people’s quality of life. Our paper is a study of foundations and means for building Legal Knowledge-Based Systems and transition to the so-called computational law. Particularly, we outline the application of legal and regulatory documents indexing technologies for legal language processing (LLP) and construct domain ontology for real estate legislation. The implementation of the approach may decrease the number of errors, over-complexities and ambiguities in legal texts, allow automated search for relevant documents, and categorize complicated legal relations. These should save the practitioners from spending too much time on routine tasks, simplify decision-making in law enforcement and reduce the subjectivity, and ultimately contribute to creating uniform and consistent legislation.

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Acknowledgements

The reported study was funded by RFBR according to the research project No. 17-32-01087 a2 OGN.

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Authors and Affiliations

  1. Novosibirsk State Technical University, Novosibirsk, Russia

    Galina Kurcheeva, Daria Rakhvalova & Maxim Bakaev

  2. Siberian Transport University, Novosibirsk, Russia

    Marina Rakhvalova

Authors
  1. Galina Kurcheeva
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  2. Marina Rakhvalova
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  3. Daria Rakhvalova
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  4. Maxim Bakaev
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Corresponding author

Correspondence to Maxim Bakaev .

Editor information

Editors and Affiliations

  1. eGovernance Center, ITMO University, St. Petersburg, Russia

    Andrei Chugunov

  2. Institute of Communications Studies, University of Leeds, Leeds, UK

    Yuri Misnikov

  3. North-West Institute of Management, Russian Presidential Academy of National Economy and Public Administration, St. Petersburg, Russia

    Evgeny Roshchin

  4. eGovernance Center, ITMO University, St. Petersburg, Russia

    Dmitrii Trutnev

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Kurcheeva, G., Rakhvalova, M., Rakhvalova, D., Bakaev, M. (2019). Mining and Indexing of Legal Natural Language Texts with Domain and Task Ontology. In: Chugunov, A., Misnikov, Y., Roshchin, E., Trutnev, D. (eds) Electronic Governance and Open Society: Challenges in Eurasia. EGOSE 2018. Communications in Computer and Information Science, vol 947. Springer, Cham. https://doi.org/10.1007/978-3-030-13283-5_10

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  • DOI: https://doi.org/10.1007/978-3-030-13283-5_10

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  • Online ISBN: 978-3-030-13283-5

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