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Principles of Dataspace Systems
Summary: Introduces dataspaces and DataSpace Support Platforms (DSSPs) as a pragmatic abstraction for managing heterogeneous, interrelated sources without full semantic integration. Focuses on query answering over incomplete mappings, introspection of content, and human-in-the-loop semantic refinement.
(summarized by gpt-5-mini on Feb 09 2026)
Paper ID
h10a4328db026abac
Venue
PODS
Year
2006
Pagerank
0.00011964697
Overall Rank
1,114 | 92.52%
DOI
10.1145/1142351.1142352
Incoming Non-self Citations Over Time
BibTeX Citation
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@inproceedings{halevy_pods06,
address = {New York, NY, USA},
series = {{PODS} '06},
title = {{Principles of Dataspace Systems}},
url = {https://dl.acm.org/doi/10.1145/1142351.1142352},
doi = {10.1145/1142351.1142352},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Halevy, Alon and Franklin, Michael and Maier, David},
year = {2006}
}
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Showing 22 of 22 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Rank
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Pagerank
24
Data Integration: A Theoretical Perspective
2002
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ULDBs: Databases with Uncertainty and Lineage
2006
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1996
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0.00031630695
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Trio: A System for Integrated Management of Data, Accuracy, and Lineage
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Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach
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591
Lineage Tracing for General Data Warehouse Transformations
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595
ConQuer: Efficient Management of Inconsistent Databases
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DTL’s DataSpot: Database Exploration Using Plain Language
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0.00010774626
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