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Modelling Medical Information and Knowledge with OWL and Topic Maps

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Intelligent Information and Database Systems: Recent Developments (ACIIDS 2019)

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Abstract

Majority of facts about autoimmune diseases are shattered in various web sources. It is difficult to provide fundamental facts about specific autoimmune disease without spending a lot of time. The paper investigates the OWL and the Topic Maps standard for building of an information and knowledge repository including autoimmune diseases. This repository should facilitate findability of facts about autoimmune diseases. The OWL and the Topic Maps is compared with the RDF and the RDFS model for answering question which approach is more suitable for development of the repository.

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Acknowledgements

Czech Science Foundation project 18-01246S is kindly acknowledged.

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Authors and Affiliations

  1. Faculty of Informatics and Management, University of Hradec Králové, Hradec Králové, Czech Republic

    Martina Husáková

Authors
  1. Martina Husáková
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Correspondence to Martina Husáková .

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Editors and Affiliations

  1. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Maciej Huk

  2. Department of Information Systems, Wrocław University of Science and Technology, Wrocław, Poland

    Marcin Maleszka

  3. Department of Management, Gdańsk University of Technology, Gdańsk, Poland

    Edward Szczerbicki

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Husáková, M. (2020). Modelling Medical Information and Knowledge with OWL and Topic Maps. In: Huk, M., Maleszka, M., Szczerbicki, E. (eds) Intelligent Information and Database Systems: Recent Developments. ACIIDS 2019. Studies in Computational Intelligence, vol 830. Springer, Cham. https://doi.org/10.1007/978-3-030-14132-5_21

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