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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
10829
Venue
VLDB
Year
2014
Pagerank
4.3722536e-05
Overall Rank
9,212 | 35.92%
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
7,117 Crowdsourced Data Management: Overview and Challenges 2017 SIGMOD 4.826509e-05
11,788 CDB: Optimizing Queries with Crowd-Based Selections and Joins 2017 SIGMOD 4.1945683e-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
866 Leveraging Transitive Relations for Crowdsourced Joins 2013 SIGMOD 0.00015801196
2,334 Counting with the Crowd 2013 VLDB 9.0161817e-05
3,100 Crowd Mining 2013 SIGMOD 7.5634778e-05
7,224 OASSIS: Query Driven Crowd Mining 2014 SIGMOD 4.7959024e-05
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94 CrowdDB: Answering Queries with Crowdsourcing 2011 SIGMOD 0.00051013264
3,935 CrowdQ: Crowdsourced Query Understanding 2013 CIDR 6.6163464e-05
11,985 Online Ordering of Overlapping Data Sources 2014 VLDB 4.1945683e-05
8,695 CrowdMiner: Mining association rules from the crowd 2013 VLDB 4.4661379e-05
3,100 Crowd Mining 2013 SIGMOD 7.5634778e-05
11,912 NL2CM: A Natural Language Interface to Crowd Mining 2015 SIGMOD 4.1945683e-05
8,694 Managing General and Individual Knowledge in Crowd Mining Applications 2015 CIDR 4.4661379e-05
7,224 OASSIS: Query Driven Crowd Mining 2014 SIGMOD 4.7959024e-05