Skip to main content

Part of the book series: Cognitive Technologies ((COGTECH))

  • 1395 Accesses

Abstract

In this article we summarize how the use of semantic technologies can help libraries and media archives to provide better access to their collections. We show how named entity information within collections can be retrieved and used to semantically link to other collections or external data sources. Furthermore, we illustrate how users can benefit from the resulting knowledge network and we present technologies to reach these goals.

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 EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover 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.

    http://liswiki.org/wiki/History_of_the_card_catalog

  2. 2.

    http://www.contentus-projekt.de/agrelon.html

  3. 3.

    http://www.dnb.de/DE/Service/DigitaleDienste/LinkedData/linkeddata.html

  4. 4.

    http://www.w3.org/TR/2004/REC-rdf-syntax-grammar-20040210/

  5. 5.

    http://www.culturegraph.org/

References

  • D. Beckett, B. McBride, RDF/XML syntax specification (revised). World Wide Web Consortium (2004), http://www.w3.org/TR/2004/REC-rdf-syntax-grammar-20040210/

  • K.J. Holyoak, R.G. Morrison (eds.), The Cambridge Handbook of Thinking and Reasoning (Cambridge University Press, New York, 2005)

    Google Scholar 

  • J. Lafferty, A. McCallum, F. Pereira, Conditional random fields: probabilistic models for segmenting and labeling sequence data, in Proceedings of the 18th International Conference on Machine Learning (ICML ’01), Williamstown (Morgan Kaufmann, San Francisco, 2001), pp. 282–289, citeseer.ist.psu.edu/lafferty01conditional.html

  • L. Ratinov, D. Roth, Design challenges and misconceptions in named entity recognition, in Proceedings of the Thirteenth Conference on Computational Natural Language Learning (CoNLL ’09), Boulder (Association for Computational Linguistics, Stroudsburg, 2009), pp. 147–155

    Google Scholar 

Download references

Acknowledgements

We would like thank our colleague Claudia Grote for her comments on an earlier draft of this article.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Christoph Böhme .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Böhme, C., Traub, M., Bergholz, A., Hannemann, J., Svensson, L. (2014). Semantic Linking in Contentus . In: Wahlster, W., Grallert, HJ., Wess, S., Friedrich, H., Widenka, T. (eds) Towards the Internet of Services: The THESEUS Research Program. Cognitive Technologies. Springer, Cham. https://doi.org/10.1007/978-3-319-06755-1_25

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-06755-1_25

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06754-4

  • Online ISBN: 978-3-319-06755-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics