OASSIS: Query Driven Crowd Mining

Summary: OASSIS enables query-driven crowd mining for frequent, significant patterns via general questions to crowd data. It merges ontological knowledge with user history, offers a declarative query language and efficient evaluator, and returns concise answers while minimizing crowd questions through an interactive UI, validated on real and synthetic data. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 4947
Venue: SIGMOD
Year: 2014
Pagerank: 5.7086247e-05
Overall Rank: 7,081 | 51.42%
DOI: 10.1145/2588555.2610514

Incoming Non-self Citations Over Time

Authors

1. Yael Amsterdamer (Tel Aviv University)
2. Susan B. Davidson (University of Pennsylvania)
3. Tova Milo (Tel Aviv University)
4. Slava Novgorodov (Tel Aviv University)
5. Amit Somech (Tel Aviv University)

BibTeX Citation

@inproceedings{amsterdamer_sigmod14,
        title = {{OASSIS: Query Driven Crowd Mining}},
        author = {Amsterdamer, Yael and Davidson, Susan B. and Milo, Tova and Novgorodov, Slava and Somech, Amit},
        series = {{SIGMOD} '14},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2588555.2610514},
        url = {https://dl.acm.org/doi/10.1145/2588555.2610514},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
5,971	Lenses: An On-Demand Approach to ETL	2015	VLDB	6.0243066e-05
7,357	Crowdsourced Data Management: Overview and Challenges	2017	SIGMOD	5.6346837e-05
7,788	A Natural Language Interface for Querying General and Individual Knowledge	2015	VLDB	5.5446256e-05
8,788	Managing General and Individual Knowledge in Crowd Mining Applications	2015	CIDR	5.3726124e-05
9,275	Ontology Assisted Crowd Mining	2014	VLDB	5.2940303e-05
11,929	ZigZag: Supporting Similarity Queries on Vector Space Models	2018	SIGMOD	5.093636e-05
12,019	DOCS: Domain-Aware Crowdsourcing System	2017	VLDB	5.093636e-05
12,065	December: A Declarative Tool for Crowd Member Selection	2016	VLDB	5.093636e-05
12,111	NL2CM: A Natural Language Interface to Crowd Mining	2015	SIGMOD	5.093636e-05

Outgoing Citations (Sorted by Pagerank)

Showing 9 of 9 cited papers.

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

Rank	Cited Paper	Year	Venue	Pagerank
196	CrowdER: Crowdsourcing Entity Resolution	2012	VLDB	0.00025780596
460	Mining Generalized Association Rules	1995	VLDB	0.00018071773
743	So Who Won? Dynamic Max Discovery with the Crowd	2012	SIGMOD	0.00014421358
852	Leveraging Transitive Relations for Crowdsourced Joins	2013	SIGMOD	0.00013604253
997	CrowdScreen: Algorithms for Filtering Data with Humans	2012	SIGMOD	0.00012755983
1,270	CDAS: A Crowdsourcing Data Analytics System	2012	VLDB	0.00011388453
1,910	Counting with the Crowd	2013	VLDB	9.4972788e-05
2,789	Crowd Mining	2013	SIGMOD	8.1203892e-05
7,018	Answering Planning Queries with the Crowd	2013	VLDB	5.7251004e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	1,270	CDAS: A Crowdsourcing Data Analytics System	2012	VLDB
2	7,630	Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion	2012	VLDB
3	90	CrowdDB: Answering Queries with Crowdsourcing	2011	SIGMOD
4	12,183	Online Ordering of Overlapping Data Sources	2014	VLDB
5	8,789	CrowdMiner: Mining association rules from the crowd	2013	VLDB
6	5,474	CrowdQ: Crowdsourced Query Understanding	2013	CIDR
7	12,111	NL2CM: A Natural Language Interface to Crowd Mining	2015	SIGMOD
8	2,789	Crowd Mining	2013	SIGMOD
9	8,788	Managing General and Individual Knowledge in Crowd Mining Applications	2015	CIDR
10	9,275	Ontology Assisted Crowd Mining	2014	VLDB