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Tweets as Data: Demonstration of TweeQL and TwitInfo

Summary: Introduces TweeQL, a SQL-like stream query language for unstructured tweets, turning them into structured data. Showcases TwitInfo for event timeline generation and exploration, enabling reusable patterns for ad-hoc tweet workflows. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4548
Venue
SIGMOD
Year
2011
Pagerank
6.2448491e-05
Overall Rank
5,367 | 63.18%
DOI
10.1145/1989323.1989470

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{marcus_sigmod11,
        title = {{Tweets as Data: Demonstration of TweeQL and TwitInfo}},
        author = {Marcus, Adam and Bernstein, Michael S. and Badar, Osama and Karger, David R. and Madden, Samuel and Miller, Robert C.},
        series = {{SIGMOD} '11},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/1989323.1989470},
        url = {https://dl.acm.org/doi/10.1145/1989323.1989470},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

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

Rank Cited Paper Year Venue Pagerank
53 Eddies: Continuously Adaptive Query Processing 2000 SIGMOD 0.00041071971
1,106 WSQ/DSQ: A Practical Approach for Combined Querying of Databases and the Web* 2000 SIGMOD 0.00012151041
2,280 Partial Results for Online Query Processing 2002 SIGMOD 8.8129961e-05
4,933 Online Query Processing: A Tutorial 2001 SIGMOD 6.4377703e-05
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