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Representation of Autoimmune Diseases with RDFS

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Computational Collective Intelligence (ICCCI 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11055))

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Abstract

Complex systems are systems consisting of many diverse and autonomous independent subsystems interacting with each other. Huge amount of interactions with many feedback loops complicate their investigation. Immune system is a typical complex system that attracts medical experts and also non-professionals especially because of its “ambient” nature and amazing complexity. Understandable information about immunity is required not only by the experts but also by the non-professionals. This paper is focused on development of the ontology providing fundamental facts about autoimmune diseases because these facts are not well-structured and presented for the end users on the web. The ontology should improve navigation among diverse pieces of information about these diseases and decrease information overloading.

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Acknowledgements

The support of the FIM UHK Specific Research Project “Socio-economic models and autonomous systems” is gratefully acknowledged. The author would like to thank Thomas Nachazel for article formatting and depicting specific figures.

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Authors and Affiliations

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

    Martina Husáková

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  1. Martina Husáková
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Correspondence to Martina Husáková .

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Editors and Affiliations

  1. Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Vietnam

    Ngoc Thanh Nguyen

  2. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Elias Pimenidis

  3. Department of Computer Science and Creative Technologies, University of the West of England, Bristol, United Kingdom

    Zaheer Khan

  4. Faculty of Computer Science and Management, Wrocław University of Science and Technology, Wrocław, Poland

    Bogdan Trawiński

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Husáková, M. (2018). Representation of Autoimmune Diseases with RDFS. In: Nguyen, N., Pimenidis, E., Khan, Z., Trawiński, B. (eds) Computational Collective Intelligence. ICCCI 2018. Lecture Notes in Computer Science(), vol 11055. Springer, Cham. https://doi.org/10.1007/978-3-319-98443-8_5

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  • DOI: https://doi.org/10.1007/978-3-319-98443-8_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-98442-1

  • Online ISBN: 978-3-319-98443-8

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