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The essence of knowledge (bases) through entity rankings

Authors:

Evica Ilieva,

Sebastian Michel,

Aleksandar StuparAuthors Info & Claims

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

Pages 1537 - 1540

https://doi.org/10.1145/2505515.2507838

Published: 27 October 2013 Publication History

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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.

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Cited By

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Panev KMichel S(2022)Concept and Computation of Ranking-based DominanceInformation Systems10.1016/j.is.2019.05.00484:C(174-188)Online publication date: 20-Apr-2022
https://dl.acm.org/doi/10.1016/j.is.2019.05.004
Wang CZhou GHe XZhou A(2018)NERank+Frontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-017-6471-412:3(504-517)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s11704-017-6471-4
Pal KMichel S(2017)LSH-Based Probabilistic Pruning of Inverted Indices for Sets and Ranked ListsProceedings of the 20th International Workshop on the Web and Databases10.1145/3068839.3068845(23-28)Online publication date: 14-May-2017
https://dl.acm.org/doi/10.1145/3068839.3068845
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Index Terms

The essence of knowledge (bases) through entity rankings
1. Information systems
  1. Information retrieval
    1. Document representation
  2. Information systems applications

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Published In

CIKM '13: Proceedings of the 22nd ACM international conference on Information & Knowledge Management

October 2013

2612 pages

ISBN:9781450322638

DOI:10.1145/2505515

General Chairs:
Qi He
LinkedIn, USA
,
Arun Iyengar
IBM T.J. Watson Research Center, USA
,
Program Chairs:
Wolfgang Nejdl
L3S Research Center, Germany
,
Jian Pei
Simon Fraser University, Canada
,
Rajeev Rastogi
Amazon, India

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 October 2013

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CIKM'13

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CIKM'13: 22nd ACM International Conference on Information and Knowledge Management

October 27 - November 1, 2013

California, San Francisco, USA

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CIKM '13 Paper Acceptance Rate 143 of 848 submissions, 17%;

Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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Cited By

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Panev KMichel S(2022)Concept and Computation of Ranking-based DominanceInformation Systems10.1016/j.is.2019.05.00484:C(174-188)Online publication date: 20-Apr-2022
https://dl.acm.org/doi/10.1016/j.is.2019.05.004
Wang CZhou GHe XZhou A(2018)NERank+Frontiers of Computer Science: Selected Publications from Chinese Universities10.1007/s11704-017-6471-412:3(504-517)Online publication date: 1-Jun-2018
https://dl.acm.org/doi/10.1007/s11704-017-6471-4
Pal KMichel S(2017)LSH-Based Probabilistic Pruning of Inverted Indices for Sets and Ranked ListsProceedings of the 20th International Workshop on the Web and Databases10.1145/3068839.3068845(23-28)Online publication date: 14-May-2017
https://dl.acm.org/doi/10.1145/3068839.3068845
Pal KMichel S(2016)Efficient Similarity Search across Top-k Lists under the Kendall's Tau DistanceProceedings of the 28th International Conference on Scientific and Statistical Database Management10.1145/2949689.2949709(1-12)Online publication date: 18-Jul-2016
https://dl.acm.org/doi/10.1145/2949689.2949709
Pal KReinartz FMichel S(2016)Mining Entity RankingsDatenbank-Spektrum10.1007/s13222-015-0205-216:1(27-38)Online publication date: 2-Feb-2016
https://doi.org/10.1007/s13222-015-0205-2
Wang CZhang RHe XZhou GZhou A(2016)NERank: Bringing Order to Named Entities from TextsWeb Technologies and Applications10.1007/978-3-319-45814-4_2(15-27)Online publication date: 17-Sep-2016
https://doi.org/10.1007/978-3-319-45814-4_2

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