Grasping the Long Tail: Personalized Search for Cultural Heritage Annotators

  • Chris Dijkshoorn
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7899)


Online collections of museums are often hard to access, because the artworks lack appropriate annotations. We develop a framework that supports niches of experts in the crowd in adding annotation of high quality. This thesis focuses on search strategies that match experts with artworks to annotate. Our approach uses explicit semantics for modeling the relations between the properties of the collection items, content-based filtering aimed at diversification, and trust-aware ranking of the results.


Cultural Heritage Link Open Data Content Pattern Answer Research Question Link Open Data Cloud 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    de Boer, V., Hildebrand, M., Aroyo, L., De Leenheer, P., Dijkshoorn, C., Tesfa, B., Schreiber, G.: Nichesourcing: Harnessing the power of crowds of experts. In: ten Teije, A., Völker, J., Handschuh, S., Stuckenschmidt, H., d’Acquin, M., Nikolov, A., Aussenac-Gilles, N., Hernandez, N. (eds.) EKAW 2012. LNCS, vol. 7603, pp. 16–20. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  2. 2.
    Gangemi, A., Presutti, V.: Towards a pattern science for the Semantic Web. Semantic Web - Interoperability Usability Applicability 1(1), 61–68 (2010)Google Scholar
  3. 3.
    Gligorov, R., Hildebrand, M., van Ossenbruggen, J., Schreiber, G., Aroyo, L.: On the role of user-generated metadata in audio visual collections. In: Knowledge Capture, pp. 145–151. ACM Press, New York (2011)Google Scholar
  4. 4.
    Greg, A.: Your Paintings: Public access and public tagging. Journal of the Scottish Society for Art History 16, 48–52 (2012)Google Scholar
  5. 5.
    Oomen, J., Aroyo, L.: Crowdsourcing in the cultural heritage domain. In: Conference on Communities and Technologies, p. 138. ACM Press, New York (2011)Google Scholar
  6. 6.
    Presutti, V., Aroyo, L., Adamou, A., Gangemi, A., Schreiber, G.: Extracting core knowledge from Linked Data. In: Workshop on Consuming Linked Data (2011)Google Scholar
  7. 7.
    Quinn, A.J., Bederson, B.B.: Human computation: a survey and taxonomy of a growing field. In: Human Factors in Computing Systems, p. 1403. ACM Press, New York (2011)Google Scholar
  8. 8.
    Shetford, S.: Analyzing the subject of a picture: a theoretical approach. Cataloging and Classification Quarterly 6(3), 39–62 (1986)CrossRefGoogle Scholar
  9. 9.
    Trant, J., Ave, L., Wyman, B.: Investigating social tagging and folksonomy in art museums with In: Collaborative Web Tagging Workshop, Edinburgh, Scotland, pp. 1–6 (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Chris Dijkshoorn
    • 1
  1. 1.Department of Computer ScienceVU University AmsterdamThe Netherlands

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