Use Cases and Suitability Metrics for Unit Ontologies

  • Markus D. Steinberg
  • Sirko Schindler
  • Jan Martin Keil
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10161)

Abstract

Units of measurement are an essential part of dataset descriptions as they are required for a valid interpretation of the data. One obvious choice for representing units are ontologies, but as every application supports different use cases a multitude of ontologies has been created. Each of these is suited best for just a subset of the possible use cases. The problem of choosing an ontology for a new project hence consists of two major aspects: What use cases need to be covered and which ontology caters best to them?

We describe possible use cases and analyze their requirements. The results are then used to assess the modeling of the domain in different ontologies with respect to their suitability for those use cases. This analysis shows the differences in the support for different use cases. It can help developers to choose the best ontology for their specific needs and also highlights areas for further ontology improvement.

Keywords

Measurement unit Ontology Ontology comparison Ontology evaluation Use cases 

Notes

Acknowledgments

Part of this work was funded by DFG in the scope of the LakeBase project within the Scientific Library Services and Information Systems (LIS) program.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Markus D. Steinberg
    • 1
  • Sirko Schindler
    • 1
  • Jan Martin Keil
    • 1
  1. 1.Heinz Nixdorf Chair for Distributed Information Systems, Institute for Computer ScienceFriedrich Schiller University JenaJenaGermany

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