research-article

Executing Provenance-Enabled Queries over Web Data

Authors:

Philippe Cudre-Mauroux,

Paul GrothAuthors Info & Claims

WWW '15: Proceedings of the 24th International Conference on World Wide Web

Pages 1275 - 1285

https://doi.org/10.1145/2736277.2741143

Published: 18 May 2015 Publication History

Abstract

The proliferation of heterogeneous Linked Data on the Web poses new challenges to database systems. In particular, because of this heterogeneity, the capacity to store, track, and query provenance data is becoming a pivotal feature of modern triple stores. In this paper, we tackle the problem of efficiently executing provenance-enabled queries over RDF data. We propose, implement and empirically evaluate five different query execution strategies for RDF queries that incorporate knowledge of provenance. The evaluation is conducted on Web Data obtained from two different Web crawls (The Billion Triple Challenge, and the Web Data Commons). Our evaluation shows that using an adaptive query materialization execution strategy performs best in our context. Interestingly, we find that because provenance is prevalent within Web Data and is highly selective, it can be used to improve query processing performance. This is a counterintuitive result as provenance is often associated with additional overhead.

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BOGAERTS BKETSMAN BZEBOUDJ YAAMER HTAELMAN RVERBORGH R(2023)Distributed Subweb Specifications for Traversing the WebTheory and Practice of Logic Programming10.1017/S1471068423000054(1-27)Online publication date: 25-Apr-2023
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Bogaerts BKetsman BZeboudj YAamer HTaelman RVerborgh R(2022)Link Traversal with Distributed Subweb SpecificationsRules and Reasoning10.1007/978-3-030-91167-6_5(62-79)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-91167-6_5
Sen SMalta MDutta BDutta A(2020)State-of-the-Art Approaches for Meta-Knowledge Assertion in the Web of DataIETE Technical Review10.1080/02564602.2020.1819891(1-38)Online publication date: 23-Sep-2020
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Index Terms

Executing Provenance-Enabled Queries over Web Data
1. Information systems
  1. Information retrieval
  2. Information storage systems

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Published In

cover image ACM Other conferences

WWW '15: Proceedings of the 24th International Conference on World Wide Web

May 2015

1460 pages

ISBN:9781450334693

General Chairs:
Aldo Gangemi
National Research Council, Italy & Paris 13 University-CNRS, France
,
Stefano Leonardi
Sapienza University of Rome, Italy
,
Alessandro Panconesi
Sapienza University of Rome, Italy

Copyright © 2015 Copyright is held by the International World Wide Web Conference Committee (IW3C2).

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IW3C2: International World Wide Web Conference Committee

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SIGWEB: ACM Special Interest Group on Hypertext, Hypermedia, and Web

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International World Wide Web Conferences Steering Committee

Republic and Canton of Geneva, Switzerland

Publication History

Published: 18 May 2015

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Dutch national program
Swiss National Science Foundation

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WWW '15

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IW3C2

WWW '15: 24th International World Wide Web Conference

May 18 - 22, 2015

Florence, Italy

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WWW '15 Paper Acceptance Rate 131 of 929 submissions, 14%;

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

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Cited By

BOGAERTS BKETSMAN BZEBOUDJ YAAMER HTAELMAN RVERBORGH R(2023)Distributed Subweb Specifications for Traversing the WebTheory and Practice of Logic Programming10.1017/S1471068423000054(1-27)Online publication date: 25-Apr-2023
https://doi.org/10.1017/S1471068423000054
Bogaerts BKetsman BZeboudj YAamer HTaelman RVerborgh R(2022)Link Traversal with Distributed Subweb SpecificationsRules and Reasoning10.1007/978-3-030-91167-6_5(62-79)Online publication date: 1-Jan-2022
https://doi.org/10.1007/978-3-030-91167-6_5
Sen SMalta MDutta BDutta A(2020)State-of-the-Art Approaches for Meta-Knowledge Assertion in the Web of DataIETE Technical Review10.1080/02564602.2020.1819891(1-38)Online publication date: 23-Sep-2020
https://doi.org/10.1080/02564602.2020.1819891
Sikos LPhilp D(2020)Provenance-Aware Knowledge Representation: A Survey of Data Models and Contextualized Knowledge GraphsData Science and Engineering10.1007/s41019-020-00118-0Online publication date: 8-May-2020
https://doi.org/10.1007/s41019-020-00118-0
Suh YLee K(2018)A survey of simulation provenance systemsHuman-centric Computing and Information Sciences10.1186/s13673-018-0150-98:1(1-29)Online publication date: 1-Dec-2018
https://dl.acm.org/doi/10.1186/s13673-018-0150-9
Sakr SWylot MMutharaju RLe Phuoc DFundulaki ISakr SWylot MMutharaju RLe Phuoc DFundulaki I(2018)Provenance Management for Linked DataLinked Data10.1007/978-3-319-73515-3_8(181-195)Online publication date: 2-Mar-2018
https://doi.org/10.1007/978-3-319-73515-3_8
Galárraga LAhlstrøm KHose KPedersen T(2018)Answering Provenance-Aware Queries on RDF Data Cubes Under Memory BudgetsThe Semantic Web – ISWC 201810.1007/978-3-030-00671-6_32(547-565)Online publication date: 18-Sep-2018
https://doi.org/10.1007/978-3-030-00671-6_32
Trinh TAryan PDo BEkaputra FKiesling ERauber AWetz PTjoa ASheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)Linked data processing provenanceProceedings of the International Conference on Web Intelligence10.1145/3106426.3106495(88-96)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3106495
Wylot MCudre-Mauroux PHauswirth MGroth P(2017)Storing, Tracking, and Querying Provenance in Linked DataIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2017.269029929:8(1751-1764)Online publication date: 1-Aug-2017
https://doi.org/10.1109/TKDE.2017.2690299
Hauswirth MWylot MGrund MGroth PCudré-Mauroux P(2017)Linked Data ManagementHandbook of Big Data Technologies10.1007/978-3-319-49340-4_9(307-338)Online publication date: 26-Feb-2017
https://doi.org/10.1007/978-3-319-49340-4_9
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