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Information Discovery in Loosely Integrated Data

Summary: Models heterogeneous sources as a labeled data graph with typed nodes/edges. Introduces a relationship search operator (ObjectRank-based) that ranks objects related to a filter via link structure and builds summary graphs for results and reuse. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4020
Venue
SIGMOD
Year
2007
Pagerank
-
Overall Rank
13,802 | 5.31%
DOI
10.1145/1247480.1247637

Incoming Non-self Citations Over Time

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Authors

BibTeX Citation

@inproceedings{hwang_sigmod07,
        title = {{Information Discovery in Loosely Integrated Data}},
        author = {Hwang, Heasoo and Balmin, Andrey and Pirahesh, Hamid and Reinwald, Berthold},
        series = {{SIGMOD} '07},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1247480.1247637},
        url = {https://dl.acm.org/doi/10.1145/1247480.1247637},
        year = {2007}
}

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Outgoing Citations (Sorted by Pagerank)

Showing 2 of 2 cited papers.

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

Rank Cited Paper Year Venue Pagerank
285 ObjectRank: Authority-Based Keyword Search in Databases 2004 VLDB 0.00022365284
2,269 GORDIAN: Efficient and Scalable Discovery of Composite Keys 2006 VLDB 8.8328424e-05
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