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Domain-Specific Modeling: Towards a Food and Drink Gazetteer

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Semantic Keyword-Based Search on Structured Data Sources (IKC 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9398))

Abstract

Our goal is to build a Food and Drink (FD) gazetteer that can serve for classification of general, FD-related concepts, efficient faceted search or automated semantic enrichment. Fully supervised design of a domain-specific models ex novo is not scalable. Integration of several ready knowledge bases is tedious and does not ensure coverage. Completely data-driven approaches require a large amount of training data, which is not always available. For general domains (such as the FD domain), re-using encyclopedic knowledge bases like Wikipedia may be a good idea. We propose here a semi-supervised approach that uses a restricted Wikipedia as a base for the modeling, achieved by selecting a domain-relevant Wikipedia category as root for the model and all its subcategories, combined with expert and data-driven pruning of irrelevant categories.

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Notes

  1. 1.

    http://foodanddrinkeurope.eu/.

  2. 2.

    http://www.eurofir.org/.

  3. 3.

    http://www.codexalimentarius.org/standards/gsfa/.

  4. 4.

    ftp://ftp.fao.org/codex/meetings/ccpr/ccpr38/pr38CxCl.pdf.

  5. 5.

    http://www.gs1.org/gdsn/gdsn-trade-item-extension-food-and-beverage/2-8.

  6. 6.

    http://www.bbc.co.uk/ontologies/fo.

  7. 7.

    http://www.theeuropeanlibrary.org/tel4/.

  8. 8.

    http://www.rluk.ac.uk/.

  9. 9.

    http://www.sng.sk/en/uvod.

  10. 10.

    http://www.horniman.ac.uk/.

  11. 11.

    http://sourceforge.net/projects/wikipedia-miner.

  12. 12.

    http://ontotext.com/products/ontotext-graphdb/.

  13. 13.

    Customized version of http://tag.ontotext.com/.

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Acknowledgements

The research presented in this paper was carried out as part of the Europeana Food and Drink project, co-funded by the European Commission within the ICT Policy Support Programme (CIP-ICT-PSP-2013-7) under Grant Agreement no. 621023.

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Authors and Affiliations

  1. Ontotext AD, 47A Tsarigradsko Shosse, 1124, Sofia, Bulgaria

    Andrey Tagarev, Laura Toloşi & Vladimir Alexiev

Authors
  1. Andrey Tagarev
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  2. Laura Toloşi
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  3. Vladimir Alexiev
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Corresponding author

Correspondence to Andrey Tagarev .

Editor information

Editors and Affiliations

  1. University of Coimbra, Coimbra, Portugal

    Jorge Cardoso

  2. Huawei European Research Center, Munich, Germany

    Jorge Cardoso

  3. Dipartimento di Ingegneria “Enzo Ferrari”, Università di Modena e Reggio Emilia, Modena, Italy

    Francesco Guerra

  4. Delft University of Technology, Delft, Zuid-Holland, The Netherlands

    Geert-Jan Houben

  5. University of Coimbra, Coimbra, Portugal

    Alexandre Miguel Pinto

  6. Università degli Studi di Trento, Trento, Italy

    Yannis Velegrakis

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Tagarev, A., Toloşi, L., Alexiev, V. (2015). Domain-Specific Modeling: Towards a Food and Drink Gazetteer. In: Cardoso, J., Guerra, F., Houben, GJ., Pinto, A.M., Velegrakis, Y. (eds) Semantic Keyword-Based Search on Structured Data Sources. IKC 2015. Lecture Notes in Computer Science(), vol 9398. Springer, Cham. https://doi.org/10.1007/978-3-319-27932-9_16

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  • DOI: https://doi.org/10.1007/978-3-319-27932-9_16

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