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Towards Measuring the Potential for Semantically Enriched Texts in Knowledge Working Environments

  • Gerald PetzEmail author
  • Dietmar Nedbal
  • Werner Wetzlinger
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10923)

Abstract

Knowledge work often requires people to read and comprehend documents in order to fulfill their tasks. To support knowledge workers in their real working environment semantically enriched texts can be leveraged. One technical basis is Named Entity Linking (NEL), which provides the capabilities to identify entities in a text and link them to a knowledge base that provides further information about them. This provides several opportunities to improve the outcome (e.g. text comprehension). In this paper, we lay the foundations for evaluating such semantic text enrichment environments that can be used in different business cases. The main result is an approach for measuring the effects of semantically enriched texts in the working environment comprising the five dimensions text, enrichment, reader, activity, and output.

Keywords

Named Entity Linking Semantic enrichment NEL Reading comprehension Multimedia comprehension Use case 

Notes

Acknowledgements

This research was supported by HC Solutions GesmbH, Linz, Austria. We have to express our appreciation to Florian Wurzer, Reinhard Schwab and Manfred Kain for discussing these topics with us.

The TOMO Entity Linker is part of TOMO ® (http://www.tomo-base.at), a big data platform for aggregating content, analyzing and visualizing content.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Gerald Petz
    • 1
    Email author
  • Dietmar Nedbal
    • 1
  • Werner Wetzlinger
    • 1
  1. 1.University of Applied Sciences Upper AustriaSteyrAustria

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