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Longitudinal Analytics on Web Archive Data: It's About Time!

Summary: Addresses longitudinal analytics over massive time-versioned web archives, moving beyond click-log studies to semantically rich, multi-modal entity- and relationship-centric analysis across decades. Identifies DB challenges: time-travel indexing/querying, temporal entity detection/tracking, longitudinal knowledge-discovery algorithms, and scalable platform/metadata management. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
158
Venue
CIDR
Year
2011
Pagerank
7.1003162e-05
Overall Rank
3,815 | 73.83%
DOI
-

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{weikum_cidr11,
        address = {Amsterdam, Netherlands},
        series = {{CIDR} '11},
        title = {{Longitudinal Analytics on Web Archive Data: It's About Time!}},
        booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
        author = {Weikum, Gerhard and Ntarmos, Nikos and Spaniol, Marc and Triantafillou, Peter and Benczúr, András and Kirkpatrick, Scott and Rigaux, Philippe and Williamson, Mark},
        year = {2011}
}

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