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A provenance approach to assess the quality of geospatial data

Authors:

Joana E. G. Malaverri,

Claudia Bauzer Medeiros,

Rubens Camargo LamparelliAuthors Info & Claims

SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

Pages 2043 - 2044

https://doi.org/10.1145/2245276.2232116

Published: 26 March 2012 Publication History

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Abstract

Geographic information is present in our daily lives. This pervasiveness is also at the origin of several problems, including heterogeneity and trustworthiness - of the data sources, of the data providers, and of the data products derived from the original sources. Most efforts to improve this situation concentrate on establishing data collection and cura-tion standards, and quality metadata. This paper extends these efforts by presenting an approach to assess quality of geospatial data based on provenance.

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Cited By

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Pintor PCosta RMoreira J(2022)Provenance in Spatial QueriesProceedings of the 26th International Database Engineered Applications Symposium10.1145/3548785.3548802(55-62)Online publication date: 22-Aug-2022
https://dl.acm.org/doi/10.1145/3548785.3548802
Amanqui FDe Nies TDimou AVerborgh RMannens EVan De Walle RMoreira D(2016)A Model of Provenance Applied to Biodiversity Datasets2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)10.1109/WETICE.2016.59(235-240)Online publication date: Jun-2016
https://doi.org/10.1109/WETICE.2016.59
Yue SChen MWen YLu G(2016)Service-oriented model-encapsulation strategy for sharing and integrating heterogeneous geo-analysis models in an open web environmentISPRS Journal of Photogrammetry and Remote Sensing10.1016/j.isprsjprs.2015.11.002114(258-273)Online publication date: Apr-2016
https://doi.org/10.1016/j.isprsjprs.2015.11.002
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A provenance approach to assess the quality of geospatial data

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Information

Published In

SAC '12: Proceedings of the 27th Annual ACM Symposium on Applied Computing

March 2012

2179 pages

ISBN:9781450308571

DOI:10.1145/2245276

Conference Chairs:
Sascha Ossowski
University Rey Juan Carlos, Spain
,
Paola Lecca
The Microsoft Research - University of Trento COSBI, Italy

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 26 March 2012

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SAC 2012: ACM Symposium on Applied Computing

March 26 - 30, 2012

Trento, Italy

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SAC '12 Paper Acceptance Rate 270 of 1,056 submissions, 26%;

Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

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Pintor PCosta RMoreira J(2022)Provenance in Spatial QueriesProceedings of the 26th International Database Engineered Applications Symposium10.1145/3548785.3548802(55-62)Online publication date: 22-Aug-2022
https://dl.acm.org/doi/10.1145/3548785.3548802
Amanqui FDe Nies TDimou AVerborgh RMannens EVan De Walle RMoreira D(2016)A Model of Provenance Applied to Biodiversity Datasets2016 IEEE 25th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)10.1109/WETICE.2016.59(235-240)Online publication date: Jun-2016
https://doi.org/10.1109/WETICE.2016.59
Yue SChen MWen YLu G(2016)Service-oriented model-encapsulation strategy for sharing and integrating heterogeneous geo-analysis models in an open web environmentISPRS Journal of Photogrammetry and Remote Sensing10.1016/j.isprsjprs.2015.11.002114(258-273)Online publication date: Apr-2016
https://doi.org/10.1016/j.isprsjprs.2015.11.002
Henzen CMäs SBernard L(2013)Provenance Information in Geodata InfrastructuresGeographic Information Science at the Heart of Europe10.1007/978-3-319-00615-4_8(133-151)Online publication date: 12-May-2013
https://doi.org/10.1007/978-3-319-00615-4_8

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