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(Artificial) Mind over Matter: Integrating Humans and Algorithms in Solving Matching Problems

Summary: Human–machine collaboration in schema matching for data integration; questions the assumption that humans always lead. Big data, ML, IoT, and cloud enable a co-adaptive workflow where humans validate and steer automated matching. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
h0616fc4368d8c241
Venue
SIGMOD
Year
2018
Pagerank
4.9793485e-05
Overall Rank
12,203 | 17.96%
DOI
10.1145/3183713.3183716

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Authors

BibTeX Citation

@inproceedings{shraga_sigmod18,
        title = {{(Artificial) Mind over Matter: Integrating Humans and Algorithms in Solving Matching Problems}},
        author = {Shraga, Roee},
        series = {{SIGMOD} '18},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3183713.3183716},
        url = {https://dl.acm.org/doi/10.1145/3183713.3183716},
        year = {2018}
}

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Outgoing Citations (Sorted by Pagerank)

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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
715 Data Integration with Uncertainty 2007 VLDB 0.00014559092
1,505 Generic Schema Matching, Ten Years Later 2011 VLDB 0.00010454635
2,901 Incremental Schema Matching 2006 VLDB 7.8830583e-05
5,765 Top-K Generation of Integrated Schemas Based on Directed and Weighted Correspondences 2009 SIGMOD 6.0026982e-05
8,437 Multi-Source Uncertain Entity Resolution at Yad Vashem: Transforming Holocaust Victim Reports into People 2016 SIGMOD 5.3350162e-05
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