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InZeit: Efficiently Identifying Insightful Time Points

Summary: InZeit identifies the m time points where a web-archive query’s top-k results change substantially, directing users to moments of temporal insight. An extended segment tree enables efficient in-memory computation of these points. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10199
Venue
VLDB
Year
2010
Pagerank
5.3766157e-05
Overall Rank
8,756 | 39.93%
DOI
10.14778/1920841.1921050

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{setty_vldb10,
        title = {{InZeit: Efficiently Identifying Insightful Time Points}},
        author = {Setty, Vinay and Bedathur, Srikanta and Berberich, Klaus and Weikum, Gerhard},
        journal = {PVLDB},
        series = {{VLDB} '10},
        volume = {3},
        number = {2},
        pages = {1605--1608},
        doi = {10.14778/1920841.1921050},
        url = {https://doi.org/10.14778/1920841.1921050},
        year = {2010}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
12,344 CHRONOS: Facilitating History Discovery by Linking Temporal Records 2012 VLDB 5.093636e-05
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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
5 Optimal Aggregation Algorithms for Middleware [Extended Abstract] 2001 PODS 0.0010828372
2,703 BlogScope: A System for Online Analysis of High Volume Text Streams 2007 VLDB 8.2340288e-05
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