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SourceSight: Enabling Effective Source Selection

Summary: SourceSight enables interactive exploration of vast, heterogeneous data sources for integration tasks. It introduces a novel multi-level source quality index and techniques to discover and evaluate sources, enabling efficient, granularity-aware source selection. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5237
Venue
SIGMOD
Year
2016
Pagerank
5.3309706e-05
Overall Rank
9,019 | 38.13%
DOI
10.1145/2882903.2899403

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{rekatsinas_sigmod16,
        title = {{SourceSight: Enabling Effective Source Selection}},
        author = {Rekatsinas, Theodoros and Deshpande, Amol and Dong, Xin Luna and Getoor, Lise and Srivastava, Divesh},
        series = {{SIGMOD} '16},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2882903.2899403},
        url = {https://dl.acm.org/doi/10.1145/2882903.2899403},
        year = {2016}
}

Incoming Citations (Sorted by Pagerank)

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Rank Citing Paper Year Venue Pagerank
7,125 Computational Fact Checking: A Content Management Perspective 2018 VLDB 5.6960323e-05
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Outgoing Citations (Sorted by Pagerank)

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