The Essence of Knowledge (bases) Through Entity Rankings

Ilieva, Evica; Michel, Sebastian; Stupar, Aleksandar

doi:10.1145/2505515.2507838

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The Essence of Knowledge (bases) Through Entity Rankings

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Ilieva, Evica
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Michel, Sebastian
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Stupar, Aleksandar
Databases and Information Systems, MPI for Informatics, Max Planck Society;

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Citation

Ilieva, E., Michel, S., & Stupar, A. (2013). The Essence of Knowledge (bases) Through Entity Rankings. In W. Nejdl, J. Pei, & R. Rastogi (Eds.), CIKM'13 (pp. 1537-1540). New York, NY: ACM. doi:10.1145/2505515.2507838.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0015-1A33-A

Abstract

We consider the task of automatically phrasing and computing top-k rankings over the information contained in common knowledge bases (KBs), such as YAGO or DBPedia. We assemble the thematic focus and ranking criteria of rankings by inspecting the present Subject, Predicate, Object (SPO) triples. Making use of numerical attributes contained in the KB we are also able to compute the actual ranking content, i.e., entities and their performances. We further discuss the integration of existing rankings into the ranking generation process for increased coverage and ranking quality. We report on first results obtained using the YAGO knowledge base.