Database Paper Browser

Back to papers

Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion

Summary: Extends crowd-enabled databases with query-driven schema expansion for on-demand attributes. It leverages perceptual spaces learned from social web ratings and few expert samples to automatically infer missing data, reducing crowdsourcing cost while maintaining high quality. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10500
Venue
VLDB
Year
2012
Pagerank
4.703047e-05
Overall Rank
7,577 | 47.35%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
4,832 An Online Cost Sensitive Decision-Making Method in Crowdsourcing Systems 2013 SIGMOD 5.8883457e-05
7,112 Answering Planning Queries with the Crowd 2013 VLDB 4.8227734e-05
Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 5 of 5 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 0.00051273089
118 Answering Queries using Humans, Algorithms and Databases 2011 CIDR 0.00045860394
246 Crowdsourced Databases: Query Processing with People 2011 CIDR 0.00030952631
2,335 A Platform for Personal Information Management and Integration 2005 CIDR 9.0110693e-05
6,714 Query Relaxation Using Malleable Schemas 2007 SIGMOD 4.9466377e-05
Previous Page 1 / 1 Next

Semantically Similar Papers