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To Diversify or not to Diversify Entity Summaries on RDF Knowledge Graphs?

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons45579

Sydow,  Marcin
Databases and Information Systems, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45380

Schenkel,  Ralf
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Sydow, M., Pikuła, M., & Schenkel, R. (2011). To Diversify or not to Diversify Entity Summaries on RDF Knowledge Graphs? In M. Kryszkiewicz, H. Rybinski, A. Skowron, & Z. W. Rás (Eds.), Foundations of Intelligent Systems (pp. 490-500). Berlin: Springer. doi:10.1007/978-3-642-21916-0_53.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0010-14D5-8
Abstract
This paper concerns the issue of diversity in entity summarisation on RDF knowledge graphs. In particular, we study whether and to what extent the notion of diversity is appreciated by real users of a summarisation tool. To this end, we design a user evaluation study and experimentally evaluate and compare, on real data concerning the movie domain (IMDB), two graph-entity summarisation algorithms: PRECIS and DIVERSUM, that were proposed in our recent work. We present successful experimental results showing that diversityawareness of a graph entity summarisation tool is a valuable feature and that DIVERSUM algorithm receives quite positive user feedback.