Skip to main content

Should Business Informatics Care about Linked Open Data?

  • Conference paper
Perspectives in Business Informatics Research (BIR 2013)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 158))

Included in the following conference series:

Abstract

In this paper the current situation in organisations regarding the reuse of information is discussed. Problems of both information publishers and consumers are presented. Many of them can be avoided by adopting the new paradigm for sharing information, namely linked open data. Although this paradigm is getting on importance, being promoted by public administration, still it has not achieved a critical mass satisfactory for enterprises. Future research challenges for business informatics with respect to linked data on the Web are sketched in the conclusions.

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

Access this chapter

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 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

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 28–37 (2001)

    Article  Google Scholar 

  2. Feigenbaum, L., Herman, I., Hongsermeier, T., Neumann, E., Stephens, S.: The Semantic Web In Action. Scientific American Magazine 297(6), 90–97 (2007)

    Article  Google Scholar 

  3. Brickley, D., Guha, R.V.: RDF Vocabulary Description Language 1.0: RDF Schema (2004), http://www.w3.org/TR/rdf-schema/

  4. Berners-Lee, T.: Linked Data - Design Issues (2006)

    Google Scholar 

  5. ISA Program: D3.1 Process and Methodology for Core Vocabularies. Technical report, European Commission (2011)

    Google Scholar 

  6. Ermilov, I., Auer, S., Stadler, C.: Crowd-Sourcing the Large-Scale Semantic Mapping of Tabular Data. In: Proceeding of the ACM Web Science (2013)

    Google Scholar 

  7. Bouquet, P., Stoermer, H., Niederee, C., Maa, A.: Entity name system: The back-bone of an open and scalable web of data (2008)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Abramowicz, W., Węcel, K. (2013). Should Business Informatics Care about Linked Open Data?. In: Kobyliński, A., Sobczak, A. (eds) Perspectives in Business Informatics Research. BIR 2013. Lecture Notes in Business Information Processing, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40823-6_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-40823-6_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-40822-9

  • Online ISBN: 978-3-642-40823-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics