DoCQS: A Prototype System for Supporting Data-oriented Content Query
Summary: DoCQS is a prototype system for data-oriented content query that searches directly into document content using a relational model. It exposes a flexible Content Query Language (CQL) to express fine-grained tasks and demonstrates efficient CQL execution in an online demo. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Mianwei Zhou (University of Illinois Urbana-Champaign)
- 2. Tao Cheng (University of Illinois Urbana-Champaign)
- 3. Kevin Chen-Chuan Chang (University of Illinois Urbana-Champaign)
BibTeX Citation
@inproceedings{zhou_sigmod10,
title = {{DoCQS: A Prototype System for Supporting Data-oriented Content Query}},
author = {Zhou, Mianwei and Cheng, Tao and Chang, Kevin Chen-Chuan},
series = {{SIGMOD} '10},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1807167.1807321},
url = {https://dl.acm.org/doi/10.1145/1807167.1807321},
year = {2010}
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Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,711 | EntityRank: Searching Entities Directly and Holistically | 2007 | VLDB | 9.8182129e-05 |
| 1,760 | Structured Querying of Web Text: A Technical Challenge | 2007 | CIDR | 9.7106555e-05 |
| 4,554 | Extracting and Querying a Comprehensive Web Database | 2009 | CIDR | 6.5391226e-05 |
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