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Enriching taxonomies of place types using Flickr

Derrac, Joaquín and Schockaert, Steven 2014. Enriching taxonomies of place types using Flickr. Presented at: FoIKS 2014: 8th International Symposium on Foundations of Information and Knowledge Systems, Bordeaux, France, 3-7 March 2014. Published in: Beierle, Christoph and Meghini, Carlo eds. Foundations of Information and Knowledge Systems: 8th International Symposium, FoIKS 2014, Bordeaux, France, March 3-7, 2014. Proceedings. Lecture Notes in Computer Science Springer Verlag, pp. 174-192. 10.1007/978-3-319-04939-7_8

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Abstract

Place types taxonomies tend to have a shallow structure, which limits their predictive value. Although existing place type taxonomies could in principle be refined, the result would inevitably be highly subjective and application-specific. Instead, in this paper, we propose a methodology to enrich place types taxonomies with a ternary betweenness relation derived from Flickr. In particular, we first construct a semantic space of place types by applying dimensionality reduction methods to tag co-occurrence data obtained from Flickr. Our hypothesis is that natural properties of place types should correspond to convex regions in this space. Specifically, knowing that places P 1,...,P n have a given property, we could then induce that all places which are located in the convex hull of {P 1,...,P n } in the semantic space are also likely to have this property. To avoid relying on computationally expensive convex hull algorithms, we propose to derive a ternary betweenness relation from the semantic space, and to approximate the convex hull at the symbolic level based on this relation. We present experimental results which support the usefulness of our approach.

Item Type: Conference or Workshop Item (Paper)
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: H Social Sciences > HM Sociology
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Publisher: Springer Verlag
ISBN: 9783319049380
ISSN: 0302-9743
Funders: EPSRC
Last Modified: 26 Jan 2018 15:31
URI: http://orca.cf.ac.uk/id/eprint/68588

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