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Which Concepts Are Worth Extracting?

Summary: Introduces cost-effective conceptual design: selecting a budget-limited subset of concepts to annotate to boost query effectiveness. Proposes APM and AAM with provable guarantees (APM PTAS without overlap; constant-factor when concepts are exclusive; AAM PTAS for exclusive concepts); experiments on Wikipedia and query logs validate performance and guide choice. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4929
Venue
SIGMOD
Year
2014
Pagerank
5.0723324e-05
Overall Rank
12,226 | 16.41%
DOI
10.1145/2588555.2610496

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Authors

BibTeX Citation

@inproceedings{termehchy_sigmod14,
        title = {{Which Concepts Are Worth Extracting?}},
        author = {Termehchy, Arash and Vakilian, Ali and Chodpathumwan, Yodsawalai and Winslett, Marianne},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2610496},
        url = {https://dl.acm.org/doi/10.1145/2588555.2610496},
        year = {2014}
}

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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
2,606 Brainwash: A Data System for Feature Engineering 2013 CIDR 8.3304314e-05
2,617 The SphereSearch Engine for Unified Ranked Retrieval of Heterogeneous XML and Web Documents 2005 VLDB 8.3163276e-05
3,224 Toward Best-Effort Information Extraction 2008 SIGMOD 7.6019206e-05
4,029 Enterprise Information Extraction: Recent Developments and Open Challenges 2010 SIGMOD 6.9270198e-05
6,601 Web Data Management 2011 SIGMOD 5.8127407e-05
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