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: 11017
Venue: VLDB
Year: 2014
Pagerank: 5.2940303e-05
Overall Rank: 9,275 | 36.37%
DOI: 10.14778/2733004.2733039

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

@article{amsterdamer_vldb14,
        title = {{Ontology Assisted Crowd Mining}},
        author = {Amsterdamer, Yael and Davidson, Susan B. and Milo, Tova and Novgorodov, Slava and Somech, Amit},
        journal = {PVLDB},
        series = {{VLDB} '14},
        volume = {7},
        number = {13},
        pages = {1597},
        doi = {10.14778/2733004.2733039},
        url = {https://doi.org/10.14778/2733004.2733039},
        year = {2014}
}

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank	Citing Paper	Year	Venue	Pagerank
7,357	Crowdsourced Data Management: Overview and Challenges	2017	SIGMOD	5.6346837e-05
9,401	CDB: Optimizing Queries with Crowd-Based Selections and Joins	2017	SIGMOD	5.2755515e-05

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
852	Leveraging Transitive Relations for Crowdsourced Joins	2013	SIGMOD	0.00013604253
1,910	Counting with the Crowd	2013	VLDB	9.4972788e-05
2,789	Crowd Mining	2013	SIGMOD	8.1203892e-05
7,081	OASSIS: Query Driven Crowd Mining	2014	SIGMOD	5.7086247e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	3,231	Truth Inference in Crowdsourcing: Is the Problem Solved?	2017	VLDB
2	6,719	Exploratory Mining via Constrained Frequent Set Queries	1999	SIGMOD
3	90	CrowdDB: Answering Queries with Crowdsourcing	2011	SIGMOD
4	5,474	CrowdQ: Crowdsourced Query Understanding	2013	CIDR
5	12,183	Online Ordering of Overlapping Data Sources	2014	VLDB
6	8,789	CrowdMiner: Mining association rules from the crowd	2013	VLDB
7	2,789	Crowd Mining	2013	SIGMOD
8	12,111	NL2CM: A Natural Language Interface to Crowd Mining	2015	SIGMOD
9	8,788	Managing General and Individual Knowledge in Crowd Mining Applications	2015	CIDR
10	7,081	OASSIS: Query Driven Crowd Mining	2014	SIGMOD