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Ontology Assisted Crowd Mining

Summary: Ontology-assisted crowd mining with OASSIS: declarative queries specify information needs. Leverages ontology-crowd knowledge, a concise query language, and an efficient evaluator to mine frequent, concise patterns while minimizing crowd queries. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
10830
Venue
VLDB
Year
2014
Pagerank
4.3680645e-05
Overall Rank
9,214 | 35.97%
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
7,116 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 4.8219732e-05
11,796 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 4.1905499e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 4 of 4 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
863 Leveraging Transitive Relations for Crowdsourced Joins 2013 SIGMOD 0.00015793243
2,255 Counting with the Crowd 2013 VLDB 9.1846281e-05
3,104 Crowd Mining 2013 SIGMOD 7.5577057e-05
7,224 OASSIS: Query Driven Crowd Mining 2014 SIGMOD 4.791302e-05
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11,993 Online Ordering of Overlapping Data Sources 2014 VLDB 4.1905499e-05
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3,104 Crowd Mining 2013 SIGMOD 7.5577057e-05
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