Magnet: Supporting Navigation in Semistructured Data Environments
Summary: Magnet enables navigation over semistructured data, letting naive users iteratively search and refine without schema expertise. It applies a vector-space model to structured data, enabling attribute-driven refinement and fuzzy similarity. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
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Authors
- 1. Vineet Sinha (Massachusetts Institute of Technology)
- 2. David R. Karger (Massachusetts Institute of Technology)
BibTeX Citation
@inproceedings{sinha_sigmod05,
title = {{Magnet: Supporting Navigation in Semistructured Data Environments}},
author = {Sinha, Vineet and Karger, David R.},
series = {{SIGMOD} '05},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1066157.1066169},
url = {https://dl.acm.org/doi/10.1145/1066157.1066169},
year = {2005}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,672 | Haystack: A Customizable General-Purpose Information Management Tool for End Users of Semistructured Data | 2005 | CIDR | 7.2113698e-05 |
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
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