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On the Quality of Annotations with Controlled Vocabularies

  • Conference paper
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Collective Online Platforms for Financial and Environmental Awareness (IFIN 2016, ISEM 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10078))

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Abstract

Corpus analysis and controlled vocabularies can benefit from each other in different ways. Usually, a controlled vocabulary is assumed to be in place and is used for improving the processing of a corpus. However, in practice the controlled vocabularies may be not available or domain experts may be not satisfied with their quality. In this work we investigate how one could measure how well a controlled vocabulary fits a corpus. For this purpose we find all the occurrences of the concepts from a controlled vocabulary (in form of a thesaurus) in each document of the corpus. After that we try to estimate the density of information in documents through the keywords and compare it with the number of concepts used for annotations. The introduced approach is tested with a financial thesaurus and corpora of financial news.

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Notes

  1. 1.

    projectprofit.eu.

  2. 2.

    http://zbw.eu/stw/.

  3. 3.

    http://www.investing.com/currencies/eur-usd-news.

  4. 4.

    http://www.investing.com/commodities/crude-oil-news.

  5. 5.

    http://www.investing.com/indices/eu-stoxx50-news.

  6. 6.

    https://www.poolparty.biz.

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Acknowledgements

We would like to thank Ioannis Pragidis for his work on improving the thesaurus, pointing us to the relevant data, and sharing his deep expertize in the subject domain.

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Authors and Affiliations

  1. Semantic Web Company, Vienna, Austria

    Heidelinde Hobel & Artem Revenko

Authors
  1. Heidelinde Hobel
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  2. Artem Revenko
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Corresponding author

Correspondence to Artem Revenko .

Editor information

Editors and Affiliations

  1. Information Technologies Institute, Centre for Research and Technology, Thessaloniki, Greece

    Anna Satsiou

  2. Adam Smith Business School, University of Glasgow, Glasgow, United Kingdom

    Georgios Panos

  3. Department of Economics, Democritus University of Thrace, Komotini, Greece

    Ioannis Praggidis

  4. Information Technologies Institute, Centre for Research and Technology, Thessaloniki, Greece

    Stefanos Vrochidis

  5. Information Technologies Institute, Centre for Research and Technology, Thessaloniki, Greece

    Symeon Papadopoulos

  6. DRAXIS Environmental S.A., Thessaloniki, Greece

    Christodoulos Keratidis

  7. DRAXIS Environmental S.A., Thessaloniki, Greece

    Panagiota Syropoulou

  8. Norwegian Institute for Air Research, Tromsø, Norway

    Hai-Ying Liu

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Hobel, H., Revenko, A. (2016). On the Quality of Annotations with Controlled Vocabularies. In: Satsiou, A., et al. Collective Online Platforms for Financial and Environmental Awareness. IFIN ISEM 2016 2016. Lecture Notes in Computer Science(), vol 10078. Springer, Cham. https://doi.org/10.1007/978-3-319-50237-3_4

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  • DOI: https://doi.org/10.1007/978-3-319-50237-3_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-50236-6

  • Online ISBN: 978-3-319-50237-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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