Abstract
In this study we consider wether, and to what extent, additional semantics in the form of Linked Data can help diversifying search results. We undertake this study in the domain of cultural heritage. The data consists of collection data of the Rijksmuseum Amsterdam together with a number of relevant external vocabularies, which are all published as Linked Data. We apply an existing graph search algorithm to this data, using entries from the museum query log as test set. The results show that in this domain an increase in diversity can be achieved through adding external vocabularies. We also analyse why some vocabularies have a significant effect, while others influence the results only marginally.
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Dijkshoorn, C., Aroyo, L., Schreiber, G., Wielemaker, J., Jongma, L. (2014). Using Linked Data to Diversify Search Results a Case Study in Cultural Heritage. In: Janowicz, K., Schlobach, S., Lambrix, P., Hyvönen, E. (eds) Knowledge Engineering and Knowledge Management. EKAW 2014. Lecture Notes in Computer Science(), vol 8876. Springer, Cham. https://doi.org/10.1007/978-3-319-13704-9_9
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DOI: https://doi.org/10.1007/978-3-319-13704-9_9
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13703-2
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