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Toward Information Systems over Ontological Graphs

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Rough Sets and Current Trends in Computing (RSCTC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 7413))

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Abstract

In the paper, we try to incorporate ontologies into information systems. In the classic information systems, there is a lack of semantics explaining meaning of data. Semantics enables us to extract some new and valuable knowledge which can be used in data analysis, rule generation, reasoning, etc. In order to cover the meaning of data, information systems over ontological graphs are defined. Next, some important relations between attribute values in such systems are investigated and an exemplary benefit of the proposed approach is briefly described.

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References

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Author information

Authors and Affiliations

  1. Institute of Biomedical Informatics, University of Information Technology and Management in Rzeszów, Poland

    Krzysztof Pancerz

Authors
  1. Krzysztof Pancerz
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina, S4S 0A2, Regina, SK, Canada

    JingTao Yao

  2. School of Information Science and Technology, Southwest Jiaotong University, 610031, Chengdu, P.R. China

    Yan Yang

  3. Institute of Computing Science, Poznan University of Technology, Piotrowo 2, 60-965, Poznan, Poland

    Roman Słowiński

  4. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco

  5. School of Management and Engineering, Nanjing University, 210093, Nanjing, Jiangsu, P.R. China

    Huaxiong Li

  6. Machine Intelligence Unit, Indian Statistical Institute (ISI), 700108, Kolkata, India

    Sushmita Mitra

  7. Polish-Japanese Institute of Information Technology, Koszykowa 86, 02-008, Warsaw, Poland

    Lech Polkowski

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© 2012 Springer-Verlag Berlin Heidelberg

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Pancerz, K. (2012). Toward Information Systems over Ontological Graphs. In: Yao, J., et al. Rough Sets and Current Trends in Computing. RSCTC 2012. Lecture Notes in Computer Science(), vol 7413. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32115-3_29

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  • DOI: https://doi.org/10.1007/978-3-642-32115-3_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32114-6

  • Online ISBN: 978-3-642-32115-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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