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Anthropocentric Data Systems

Summary: A vision for data systems that treat humans as active design participants, leveraging individual and collective intelligence. Applies human contributions and predictions to optimize caching, queries, indexing, placement, load balancing, concurrency, and replication. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
10422
Venue
VLDB
Year
2011
Pagerank
5.2554757e-05
Overall Rank
9,526 | 34.65%
DOI
10.14778/2071574.2071589

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@article{triantafillou_vldb11,
        title = {{Anthropocentric Data Systems}},
        author = {Triantafillou, Peter},
        journal = {PVLDB},
        series = {{VLDB} '11},
        volume = {4},
        number = {12},
        pages = {1478--1481},
        doi = {10.14778/2071574.2071589},
        url = {https://doi.org/10.14778/2071574.2071589},
        year = {2011}
}

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank Citing Paper Year Venue Pagerank
2,559 dbTouch: Analytics at your Fingertips 2013 CIDR 8.4156672e-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
90 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00034951786
12,355 eXO: Decentralized Autonomous Scalable Social Networking 2011 CIDR 5.093636e-05
Previous Page 1 / 1 Next

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