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Ontologies for Business Networks Identification

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Formal Ontologies Meet Industry (FOMI 2015)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 225))

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Abstract

Studies have shown that for the needs of the decision-making process, it is not enough to take into account the internal aspects of an organization, but its external business environment should be considered as well. Due to the rapid changes in the business environments and huge volumes of data that need to be analyzed, conducting analyses of the external environment is however challenging. In addition, the knowledge on the market rules and laws of economy is required in order to recognize existing relations between market subjects. We argue that the application of semantically annotated data can efficiently support the process of business environment analysis and allow for business network identification. Within this paper, we present a set of formal ontologies created to support such a process as well as identified requirements towards their scope and operational aspects.

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Notes

  1. 1.

    http://dbpedia.org.

  2. 2.

    http://www.freebase.com/.

  3. 3.

    Due to the mentioned lack of publicly available data, the information on the technology used is not considered in the proposed method and formal ontologies.

  4. 4.

    Property isAlikeTo describes substitutes (e.g., smartphone isAlikeTo tablet); be1 and be2 stands for business entities; property hasType defines relationship between offering and its type (e.g., iPhone hasType smartphone).

  5. 5.

    http://www.w3.org/2001/sw/wiki/Pellet.

  6. 6.

    Results vary depending on data set and initial centroids.

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Acknowledgments

The work published in this article was supported by the project titled: “Clustering Method to Support Strategic Decision-Making Process in the Semantic Web” financed by the National Science Centre (NCN) (decision no. DEC2012/05/N/HS4/01875).

Author information

Authors and Affiliations

  1. Department of Information Systems, Faculty of Informatics and Electronic Economy, Poznan University of Economics, Poznan, Poland

    Elżbieta Lewańska

  2. Research Group Information Systems and Enterprise Modeling, University of Duisburg-Essen, Essen, Germany

    Monika Kaczmarek

Authors
  1. Elżbieta Lewańska
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  2. Monika Kaczmarek
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Corresponding author

Correspondence to Elżbieta Lewańska .

Editor information

Editors and Affiliations

  1. Department of Management and Computer Science (DISA), University of Trento, Trento, Italy

    Roberta Cuel

  2. Loughborough University, Loughborough, United Kingdom

    Robert Young

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Lewańska, E., Kaczmarek, M. (2015). Ontologies for Business Networks Identification. In: Cuel, R., Young, R. (eds) Formal Ontologies Meet Industry. FOMI 2015. Lecture Notes in Business Information Processing, vol 225. Springer, Cham. https://doi.org/10.1007/978-3-319-21545-7_2

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  • DOI: https://doi.org/10.1007/978-3-319-21545-7_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21544-0

  • Online ISBN: 978-3-319-21545-7

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