Anthropocentric Data Systems

Summary: Anthropocentric Data Systems (ADS) centers humans in data-system design, using crowdsourcing and human-in-the-loop. Human input can improve caching, prefetching, popularity, query optimization, indexing, placement/replication, and concurrency. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 10231
Venue: VLDB
Year: 2011
Pagerank: 4.4101874e-05
Overall Rank: 9,005 | 37.36%
DOI: -

Incoming Non-self Citations Over Time

Authors

1. Peter Triantafillou

Incoming Citations (Sorted by Pagerank)

Showing 1 of 1 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
1,840	dbTouch: Analytics at your Fingertips	2013	CIDR	0.0001034905

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
94	CrowdDB: Answering Queries with Crowdsourcing	2011	SIGMOD	0.00051013264
12,159	eXO: Decentralized Autonomous Scalable Social Networking	2011	CIDR	4.1945683e-05

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1,491	CDAS: A Crowdsourcing Data Analytics System	2012	VLDB	0.00011694982
7,117	Crowdsourced Data Management: Overview and Challenges	2017	SIGMOD	4.826509e-05
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1,404	Responsible Data Management	2020	VLDB	0.00012174977
13,353	The Big Data - Same Humans Problem	2015	CIDR	-
7,668	Human-in-the-loop Data Integration	2017	VLDB	4.6834075e-05
5,056	Crowds, Clouds, and Algorithms: Exploring the Human Side of "Big Data" Applications	2010	SIGMOD	5.73044e-05
5,450	Crowdsourcing Applications and Platforms: A Data Management Perspective	2011	VLDB	5.5003491e-05