demonstration

Pay-as-you-go mapping selection in dataspaces

Authors:

Cornelia Hedeler,

Khalid Belhajjame,

Norman W. Paton,

Alvaro A.A. Fernandes,

Suzanne M. Embury,

Lu Mao,

Chenjuan GuoAuthors Info & Claims

SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data

Pages 1279 - 1282

https://doi.org/10.1145/1989323.1989476

Published: 12 June 2011 Publication History

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Abstract

The vision of dataspaces proposes an alternative to classical data integration approaches with reduced up-front costs followed by incremental improvement on a pay-as-you-go basis. In this paper, we demonstrate DSToolkit, a system that allows users to provide feedback on results of queries posed over an integration schema. Such feedback is then used to annotate the mappings with their respective precision and recall. The system then allows a user to state the expected levels of precision (or recall) that the query results should exhibit and, in order to produce those results, the system selects those mappings that are predicted to meet the stated constraints.

References

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Cited By

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Hagenhoff PBiehs SMöller FOtto B(2024)Designing a Reference Architecture for Collaborative Condition Monitoring Data Spaces: Design Requirements and ViewsDesign Science Research for a Resilient Future10.1007/978-3-031-61175-9_24(355-369)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-61175-9_24
Curry EScerri STuikka T(2022)Data Spaces: Design, Deployment, and Future DirectionsData Spaces10.1007/978-3-030-98636-0_1(1-17)Online publication date: 9-Sep-2022
https://doi.org/10.1007/978-3-030-98636-0_1
Guo JCheng YWang DTao FPickl S(2021)Industrial Dataspace for smart manufacturing: connotation, key technologies, and frameworkInternational Journal of Production Research10.1080/00207543.2021.195599661:12(3868-3883)Online publication date: 16-Aug-2021
https://doi.org/10.1080/00207543.2021.1955996
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Index Terms

Pay-as-you-go mapping selection in dataspaces
1. Information systems
  1. Data management systems
    1. Database management system engines

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Information & Contributors

Information

Published In

SIGMOD '11: Proceedings of the 2011 ACM SIGMOD International Conference on Management of data

June 2011

1364 pages

ISBN:9781450306614

DOI:10.1145/1989323

General Chair:
Timos Sellis
IMIS/RC Athena
,
Program Chair:
Renée J. Miller
University of Toronto
,
Publications Chairs:
Anastasios Kementsietsidis
IBM T.J. Watson Research Center
,
Yannis Velegrakis
University of Trento

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 12 June 2011

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Demonstration

Conference

SIGMOD/PODS '11

Sponsor:

SIGMOD

SIGMOD/PODS '11: International Conference on Management of Data

June 12 - 16, 2011

Athens, Greece

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Overall Acceptance Rate 785 of 4,003 submissions, 20%

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Cited By

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Hagenhoff PBiehs SMöller FOtto B(2024)Designing a Reference Architecture for Collaborative Condition Monitoring Data Spaces: Design Requirements and ViewsDesign Science Research for a Resilient Future10.1007/978-3-031-61175-9_24(355-369)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1007/978-3-031-61175-9_24
Curry EScerri STuikka T(2022)Data Spaces: Design, Deployment, and Future DirectionsData Spaces10.1007/978-3-030-98636-0_1(1-17)Online publication date: 9-Sep-2022
https://doi.org/10.1007/978-3-030-98636-0_1
Guo JCheng YWang DTao FPickl S(2021)Industrial Dataspace for smart manufacturing: connotation, key technologies, and frameworkInternational Journal of Production Research10.1080/00207543.2021.195599661:12(3868-3883)Online publication date: 16-Aug-2021
https://doi.org/10.1080/00207543.2021.1955996
Firnkorn DGanzinger MMuley TThomas MKnaup P(2018)A Generic Data Harmonization Process for Cross-linked Research and Network InteractionMethods of Information in Medicine10.3414/ME14-02-003054:05(455-460)Online publication date: 22-Jan-2018
https://doi.org/10.3414/ME14-02-0030
Wahl A(2016)A minimally-intrusive approach for query-driven data integration systems2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW)10.1109/ICDEW.2016.7495654(231-235)Online publication date: May-2016
https://doi.org/10.1109/ICDEW.2016.7495654
Lu LZhang HGao X(2015)Integrate inconsistent and heterogeneous data based on user feedbackInternational Journal of Intelligent Computing and Cybernetics10.1108/IJICC-04-2014-00138:2(187-203)Online publication date: 8-Jun-2015
https://doi.org/10.1108/IJICC-04-2014-0013
Argiolas MAtzori MDessì NPes B(2014)Improving Spatial Decision Making in Cloud ComputingContemporary Advancements in Information Technology Development in Dynamic Environments10.4018/978-1-4666-6252-0.ch005(78-91)Online publication date: 2014
https://doi.org/10.4018/978-1-4666-6252-0.ch005
Dessì NPascariello EMilia GPes B(2014)BioCloud Search EnGene: Surfing Biological Data on the CloudComputational Intelligence Methods for Bioinformatics and Biostatistics10.1007/978-3-319-09042-9_3(33-48)Online publication date: 16-Jul-2014
https://doi.org/10.1007/978-3-319-09042-9_3
Hedeler CFernandes ABelhajjame KMao LGuo CPaton NEmbury S(2013)A Functional Model for Dataspace Management SystemsAdvanced Query Processing10.1007/978-3-642-28323-9_12(305-341)Online publication date: 2013
https://doi.org/10.1007/978-3-642-28323-9_12
Argiolas MAtzori MDessì NPes B(2012)Dataspaces Enhancing Decision Support Systems in CloudsInternational Journal of Web Portals10.4018/jwp.20120401034:2(35-55)Online publication date: 1-Apr-2012
https://doi.org/10.4018/jwp.2012040103
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Feedback-based annotation, selection and refinement of schema mappings for dataspaces

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