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Flexible and efficient querying and ranking on hyperlinked data sources

Authors:

Ramakrishna Varadarajan,

Vagelis Hristidis,

Louiqa Raschid,

Maria-Esther Vidal,

Héctor Rodríguez-DrumondAuthors Info & Claims

EDBT '09: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology

Pages 553 - 564

https://doi.org/10.1145/1516360.1516425

Published: 24 March 2009 Publication History

Abstract

There has been an explosion of hyperlinked data in many domains, e.g., the biological Web. Expressive query languages and effective ranking techniques are required to convert this data into browsable knowledge. We propose the Graph Information Discovery (GID) framework to support sophisticated user queries on a rich web of annotated and hyperlinked data entries, where query answers need to be ranked in terms of some customized ranking criteria, e.g., PageRank or ObjectRank. GID has a data model that includes a schema graph and a data graph, and an intuitive query interface. The GID framework allows users to easily formulate queries consisting of sequences of hard filters (selection predicates) and soft filters (ranking criteria); it can also be combined with other specialized graph query languages to enhance their ranking capabilities. GID queries have a well-defined semantics and are implemented by a set of physical operators, each of which produces a ranked result graph. We discuss rewriting opportunities to provide an efficient evaluation of GID queries. Soft filters are a key feature of GID and they are implemented using authority flow ranking techniques; these are query dependent rankings and are expensive to compute at runtime. We present approximate optimization techniques for GID soft filter queries based on the properties of random walks, and using novel path-length-bound and graph-sampling approximation techniques. We experimentally validate our optimization techniques on large biological and bibliographic datasets. Our techniques can produce high quality (Top K) answers with a savings of up to an order of magnitude, in comparison to the evaluation time for the exact solution.

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Cited By

Vidal MRivera JIbáòez LRaschid LPalma GRodriguez HRuckhaus E(2018)An authority-flow based ranking approach to discover potential novel associations between Linked DataSemantic Web10.5555/2786093.27860975:1(23-46)Online publication date: 13-Dec-2018
https://dl.acm.org/doi/10.5555/2786093.2786097
(2018)Approximation and relaxation of semantic web path queriesWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2016.08.00140:C(1-21)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.1016/j.websem.2016.08.001
Xie WBindel DDemers AGehrke JCao LZhang CJoachims TWebb GMargineantu DWilliams G(2015)Edge-Weighted Personalized PageRankProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2783258.2783278(1325-1334)Online publication date: 10-Aug-2015
https://dl.acm.org/doi/10.1145/2783258.2783278
Show More Cited By

Index Terms

Flexible and efficient querying and ranking on hyperlinked data sources
1. Information systems
  1. Information retrieval

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cover image ACM Other conferences

EDBT '09: Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology

March 2009

1180 pages

ISBN:9781605584225

DOI:10.1145/1516360

Editors:
Martin Kersten
CWI, The Netherlands
,
Boris Novikov
University of Saint Petersburg, Russia
,
Jens Teubner
ETH Zurich, Switzerland
,
Vladimir Polutin
HP Labs, Russia
,
Stefan Manegold
CWI, The Netherlands

Copyright © 2009 ACM.

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: 24 March 2009

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EDBT/ICDT '09

EDBT/ICDT '09: EDBT/ICDT '09 joint conference

March 24 - 26, 2009

Saint Petersburg, Russia

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Overall Acceptance Rate 7 of 10 submissions, 70%

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Cited By

Vidal MRivera JIbáòez LRaschid LPalma GRodriguez HRuckhaus E(2018)An authority-flow based ranking approach to discover potential novel associations between Linked DataSemantic Web10.5555/2786093.27860975:1(23-46)Online publication date: 13-Dec-2018
https://dl.acm.org/doi/10.5555/2786093.2786097
(2018)Approximation and relaxation of semantic web path queriesWeb Semantics: Science, Services and Agents on the World Wide Web10.1016/j.websem.2016.08.00140:C(1-21)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.1016/j.websem.2016.08.001
Xie WBindel DDemers AGehrke JCao LZhang CJoachims TWebb GMargineantu DWilliams G(2015)Edge-Weighted Personalized PageRankProceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/2783258.2783278(1325-1334)Online publication date: 10-Aug-2015
https://dl.acm.org/doi/10.1145/2783258.2783278
Hristidis VWu YRaschid L(2014)Efficient Ranking on Entity Graphs with Personalized RelationshipsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2013.5226:4(850-863)Online publication date: Apr-2014
https://doi.org/10.1109/TKDE.2013.52
Gomes-Jr LJensen RSantanchè AGuerrini G(2013)Towards query model integrationProceedings of the Joint EDBT/ICDT 2013 Workshops10.1145/2457317.2457350(185-194)Online publication date: 18-Mar-2013
https://dl.acm.org/doi/10.1145/2457317.2457350
Onizuka MFujiwara YShiokawa HNakatsuji M(2013)Efficient search algorithm for SimRankProceedings of the 2013 IEEE International Conference on Data Engineering (ICDE 2013)10.1109/ICDE.2013.6544858(589-600)Online publication date: 8-Apr-2013
https://dl.acm.org/doi/10.1109/ICDE.2013.6544858
Ryang HYun U(2011)Effective ranking techniques for book review retrieval based on the structural featureProceedings of the 5th international conference on Convergence and hybrid information technology10.5555/2045005.2045053(360-367)Online publication date: 22-Sep-2011
https://dl.acm.org/doi/10.5555/2045005.2045053
Cohen-Boulakia SDenise AHamel S(2011)Using medians to generate consensus rankings for biological dataProceedings of the 23rd international conference on Scientific and statistical database management10.5555/2032397.2032404(73-90)Online publication date: 20-Jul-2011
https://dl.acm.org/doi/10.5555/2032397.2032404
Kahng MLee SLee SNica ASuchanek F(2011)Ranking objects by following paths in entity-relationship graphsProceedings of the 4th workshop on Workshop for Ph.D. students in information & knowledge management10.1145/2065003.2065008(11-18)Online publication date: 28-Oct-2011
https://dl.acm.org/doi/10.1145/2065003.2065008
Cohen-Boulakia SDenise AHamel S(2011)Using Medians to Generate Consensus Rankings for Biological DataScientific and Statistical Database Management10.1007/978-3-642-22351-8_5(73-90)Online publication date: 2011
https://doi.org/10.1007/978-3-642-22351-8_5
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