Skip to main content
SpringerLink
Log in

Towards Automatic Business Networks Identification

  • Conference paper
  • First Online:
Business Information Systems Workshops (BIS 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 263))

Included in the following conference series:

Abstract

Dynamic changes on of the business environment force business experts to continuously monitor and analyze situation and relations on the market. Due to the volume of available data and huge number of entities that operates on most markets, it is very time and cost consuming to perform the analysis manually. The paper presents an outline of analysis method that focus on identification on business networks and analysis of business environment of the specific business entity. The method operates on a set of semantically described profiles that are automatically processed and analyzed according the to user’s criteria.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Notes

  1. 1.

    dbpedia.org.

  2. 2.

    crunchbase.com.

  3. 3.

    Depth indicates the maximum path length between central business entity and any other entity in the network.

References

  1. Edmunds, A., Morris, A.: The problem of information overload in business organisations: a review of the literature. Int. J. Inf. Manag. 20(1), 17–28 (2000)

    Article  Google Scholar 

  2. Citroen, C.L.: The role of information in strategic decision-making. Int. J. Inf. Manage. 31, 493–501 (2011)

    Article  Google Scholar 

  3. Håkansson, H., Snehota, I.: No business is an island: the network concept of business strategy. Scand. J. Manag. 22(3), 256–270 (2006)

    Article  Google Scholar 

  4. Ratajczak-Mrozek, M.: Sieci biznesowe a przewaga konkurencyjna przesiębiorstw zaawansowanych technologii na rynkach zagranicznych. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, Poznań (2010)

    Google Scholar 

  5. Ford, D., Gadde, L., Hakansson, H., Snehota, I.: Managing Business Relationships. Wiley (2011)

    Google Scholar 

  6. Ritter, D.: From network mining to large scale business networks. In: WWW 2012 - LSNA 2012 Workshop, Lyon, France (2012)

    Google Scholar 

  7. Hevner, A.R., March, S.T., Park, J., Ram, S.: Design science in information system research. MIS Q. 28(1), 75–105 (2004)

    Google Scholar 

  8. Hevner, A., Chatterjee, S.: Design Research in Information Systems. In: Integrated Series in Information Systems, vol. 22. Springer Science+Business Media, LLC (2010)

    Google Scholar 

  9. Bukowska, E.: Semantically enhanced analysis of enterprise environment for the needs of business networks identification. In: Abramowicz, W. (ed.) BIS 2013. LNBIP, vol. 160, pp. 232–243. Springer, Heidelberg (2013). doi:10.1007/978-3-642-41687-3_22

    Chapter  Google Scholar 

  10. Campbell, A., Wilson, D.: Managed networks. In: Iacobucci, E. (ed.) Networks in Marketing. Sage Publications, USA (1996)

    Google Scholar 

  11. Gruber, T.R.: A translation approach to portable ontology specifications. Knowl. Acquis. 5(2), 199–220 (1993)

    Article  Google Scholar 

  12. Fensel, D., Horrocks, I., Harmelen, F.V., McGuinness, D., Patel-Schneider, P.F.: Oil: ontology infrastructure to enable the semantic web. IEEE Intell. Syst. 16, 38–45 (2001)

    Article  Google Scholar 

  13. Heath, T., Hepp, M., Bizer, C.: Linked data - the story so far. Special Issue on Linked Data, Int. J. Semant. Web Inf. Syst. (IJSWIS) (2009)

    Google Scholar 

  14. Nado, R.A., Huffman, S.B.: Extracting entity profiles from semistructured information spaces. SIGMOD Rec. 26(4), 32–38 (1997)

    Article  Google Scholar 

  15. Lee, T., Chams, M., Nado, R., Siegel, M., Madnick, S.: Information integration with attribution support for corporate profiles. In: Proceedings of the Eighth International Conference on Information and Knowledge Management, CIKM 1999, pp. 423–429. ACM, New York (1999)

    Google Scholar 

  16. Li, W., Srihari, R., Niu, C., Li, X.: Entity profile extraction from large corpora. In: Proceedings of Pacific Association for Computational Linguistics 2003 (PACLING 2003), Halifax, Nova Scotia, Canada, pp. 295–304 (2003)

    Google Scholar 

  17. Wieloch, K.: Rozprawa doktorska: Budowanie profili przedsiębiorstw z wykorzystaniem utożsamiania odwołań semantycznych do przedsiębiorstw w polskich tekstach ekonomicznych. Uniwersytet Ekonomiczny w Poznaniu (2011)

    Google Scholar 

  18. Larose, D.T.: Discovering Knowledge in Data: An Introduction to Data Mining. Wiley, Warszawa (2014)

    Book  Google Scholar 

  19. Algergawy, A., Mesiti, M., Nayak, R., Saake, G.: Xml data clustering: an overview. ACM Comput. Surv. 43(4), 25:1–25:41 (2011)

    Article  Google Scholar 

  20. Bukowska, E.: Semantyczne źródła informacji w procesie podejmowania decyzji strategicznych przez przedsiębiorstwa funkcjonujące w gospodarce elektronicznej. In: Matematyka i informatyka na usługach ekonomii: teoria i zastosowania. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu (UEP), pp. 169–182 (2014)

    Google Scholar 

  21. Lewańska, E., Kaczmarek, M.: Ontologies for business networks identification. In: Cuel, R., Young, R. (eds.) FOMI 2015. LNBIP, vol. 225, pp. 13–24. Springer, Heidelberg (2015). doi:10.1007/978-3-319-21545-7_2

    Chapter  Google Scholar 

  22. Lewańska, E.: Zastosowanie technologii semantycznych na potrzeby analizy relacji pomiędzy podmiotami gospodarczymi. In: Systemy wspomagania organizacji SWO 2015. Wydawnictwo Uniwersytetu Ekonomicznego w Katowicach, pp. 121–132 (2015)

    Google Scholar 

  23. Jackson, P.: Introduction to Expert Systems. Addison-Wesley Longman Publishing Co. Inc., Boston (1986)

    Google Scholar 

  24. Weiss, S.M., Kulikowski, C.A.: A Practical Guide to Designing Expert Systems. Rowman & Allanheld Publishers (1984)

    Google Scholar 

Download references

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. DEC-2012/05/N/HS4/01875).

Author information

Authors and Affiliations

  1. Department of Information Systems, Faculty of Informatics and Electronic Economy, Poznan University of Economics and Business, al. Niepodleglosci 10, 61-875, Poznan, Poland

    Elżbieta Lewańska

Authors
  1. Elżbieta Lewańska
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Elżbieta Lewańska .

Editor information

Editors and Affiliations

  1. Poznań University of Economics and Business, Poznan, Poland

    Witold Abramowicz

  2. Leipzig University, Leipzig, Germany

    Rainer Alt

  3. Leipzig University, Leipzig, Germany

    Bogdan Franczyk

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Lewańska, E. (2017). Towards Automatic Business Networks Identification. In: Abramowicz, W., Alt, R., Franczyk, B. (eds) Business Information Systems Workshops. BIS 2016. Lecture Notes in Business Information Processing, vol 263. Springer, Cham. https://doi.org/10.1007/978-3-319-52464-1_36

Download citation

Publish with us

Policies and ethics

Search

Navigation