Article

Estimating the cardinality of RDF graph patterns

Authors:

Angela Maduko,

Kemafor Anyanwu,

Amit Sheth,

Paul SchliekelmanAuthors Info & Claims

WWW '07: Proceedings of the 16th international conference on World Wide Web

Pages 1233 - 1234

https://doi.org/10.1145/1242572.1242782

Published: 08 May 2007 Publication History

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Abstract

Most RDF query languages allow for graph structure search through a conjunction of triples which is typically processed using join operations. A key factor in optimizing joins is determining the join order which depends on the expected cardinality of intermediate results. This work proposes a pattern-based summarization framework for estimating the cardinality of RDF graph patterns. We present experiments on real world and synthetic datasets which confirm the feasibility of our approach.

References

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Anyanwu, K., Maduko, A., Sheth, A. SemRank: Ranking Complex Relationship Search Results on the Semantic Web. WWW 2005.

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Guo, Y., Pan, Z., Heflin, J. LUBM: A Benchmark for OWL Knowledge Base Systems. J. of Web Semantics 3(2), 2005.

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Haase, P., Broekstra, J., Eberharth, A., Volz, R. A Comparison of RDF Query Languages. ISWC 2004.

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Yan, X., Han, J. gSpan: Graph--Based Substructure Pattern Mining. ICDM 2002.

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http://lsdis.cs.uga.edu/projects/semdis/swetodblp

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Cited By

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Lei CQuamar AEfthymiou VÖzcan FAlotaibi R(2022)HERMES: data placement and schema optimization for enterprise knowledge basesThe VLDB Journal10.1007/s00778-022-00756-y32:3(549-574)Online publication date: 26-Jul-2022
https://doi.org/10.1007/s00778-022-00756-y
Alotaibi RLei CQuamar AEfthymiou VOzcan F(2021)Property Graph Schema Optimization for Domain-Specific Knowledge Graphs2021 IEEE 37th International Conference on Data Engineering (ICDE)10.1109/ICDE51399.2021.00085(924-935)Online publication date: Apr-2021
https://doi.org/10.1109/ICDE51399.2021.00085
Elzein NMajid MHashem IYaqoob IAlaba FImran M(2018)Managing big RDF data in clouds: Challenges, opportunities, and solutionsSustainable Cities and Society10.1016/j.scs.2018.02.01939(375-386)Online publication date: May-2018
https://doi.org/10.1016/j.scs.2018.02.019
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Index Terms

Estimating the cardinality of RDF graph patterns
1. Information systems
  1. Data management systems
    1. Database management system engines
      1. Database query processing
2. Theory of computation
  1. Theory and algorithms for application domains
    1. Database theory
      1. Database query processing and optimization (theory)

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Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation
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Estimating the cardinality (i.e., the number of answers) of conjunctive queries is particularly difficult in RDF systems: queries over RDF data are navigational and thus tend to involve many joins. We present a new, principled cardinality estimation ...
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RDF is a knowledge representation language dedicated to the annotation of resources within the framework of the semantic web. Among the query languages for RDF, SPARQL allows querying RDF through graph patterns, i.e., RDF graphs involving variables. ...

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Information & Contributors

Information

Published In

WWW '07: Proceedings of the 16th international conference on World Wide Web

May 2007

1382 pages

ISBN:9781595936547

DOI:10.1145/1242572

General Chairs:
Carey Williamson
University of Calgary, Canada
,
Mary Ellen Zurko
IBM, USA
,
Program Chairs:
Peter Patel-Schneider
Bell Labs Research, USA
,
Prashant Shenoy
University of Massachusetts at Amherst, USA

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: 08 May 2007

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WWW'07

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WWW'07: 16th International World Wide Web Conference

May 8 - 12, 2007

Alberta, Banff, Canada

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Overall Acceptance Rate 1,899 of 8,196 submissions, 23%

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Lei CQuamar AEfthymiou VÖzcan FAlotaibi R(2022)HERMES: data placement and schema optimization for enterprise knowledge basesThe VLDB Journal10.1007/s00778-022-00756-y32:3(549-574)Online publication date: 26-Jul-2022
https://doi.org/10.1007/s00778-022-00756-y
Alotaibi RLei CQuamar AEfthymiou VOzcan F(2021)Property Graph Schema Optimization for Domain-Specific Knowledge Graphs2021 IEEE 37th International Conference on Data Engineering (ICDE)10.1109/ICDE51399.2021.00085(924-935)Online publication date: Apr-2021
https://doi.org/10.1109/ICDE51399.2021.00085
Elzein NMajid MHashem IYaqoob IAlaba FImran M(2018)Managing big RDF data in clouds: Challenges, opportunities, and solutionsSustainable Cities and Society10.1016/j.scs.2018.02.01939(375-386)Online publication date: May-2018
https://doi.org/10.1016/j.scs.2018.02.019
Guzel Kalayci EKalayci TBirant D(2015)An ant colony optimisation approach for optimising SPARQL queries by reordering triple patternsInformation Systems10.1016/j.is.2015.01.01350:C(51-68)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1016/j.is.2015.01.013
Fokoue ABornea MDolby JKementsietsidis ASrinivas K(2014)An Offline Optimal SPARQL Query Planning Approach to Evaluate Online Heuristic PlannersWeb Information Systems Engineering – WISE 201410.1007/978-3-319-11749-2_36(480-495)Online publication date: 2014
https://doi.org/10.1007/978-3-319-11749-2_36
Bornea MDolby JKementsietsidis ASrinivas KDantressangle PUdrea OBhattacharjee BRoss KSrivastava DPapadias D(2013)Building an efficient RDF store over a relational databaseProceedings of the 2013 ACM SIGMOD International Conference on Management of Data10.1145/2463676.2463718(121-132)Online publication date: 22-Jun-2013
https://dl.acm.org/doi/10.1145/2463676.2463718
Hose KSchenkel RTheobald MWeikum G(2011)Database foundations for scalable RDF processingProceedings of the 7th international conference on Reasoning web: semantic technologies for the web of data10.5555/2033313.2033317(202-249)Online publication date: 23-Aug-2011
https://dl.acm.org/doi/10.5555/2033313.2033317
Hose KSchenkel RTheobald MWeikum G(2011)Database Foundations for Scalable RDF ProcessingReasoning Web. Semantic Technologies for the Web of Data10.1007/978-3-642-23032-5_4(202-249)Online publication date: 2011
https://doi.org/10.1007/978-3-642-23032-5_4
Udrea ORecupero DSubrahmanian V(2010)Annotated RDFACM Transactions on Computational Logic10.1145/1656242.165624511:2(1-41)Online publication date: 22-Jan-2010
https://dl.acm.org/doi/10.1145/1656242.1656245
Neumann TWeikum G(2010)The RDF-3X engine for scalable management of RDF dataThe VLDB Journal — The International Journal on Very Large Data Bases10.1007/s00778-009-0165-y19:1(91-113)Online publication date: 1-Feb-2010
https://dl.acm.org/doi/10.1007/s00778-009-0165-y
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Cited By

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Recommendations

Estimating the Cardinality of Conjunctive Queries over RDF Data Using Graph Summarisation

Estimating selectivity for joined RDF triple patterns

Extending SPARQL with regular expression patterns (for querying RDF)

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