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: h73f21a53dac4bf8a
Venue: VLDB
Year: 2014
Pagerank: 5.1752483e-05
Overall Rank: 9,450 | 36.47%
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
7,500	Crowdsourced Data Management: Overview and Challenges	2017	SIGMOD	5.5083793e-05
9,583	CDB: Optimizing Queries with Crowd-Based Selections and Joins	2017	SIGMOD	5.1571823e-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
871	Leveraging Transitive Relations for Crowdsourced Joins	2013	SIGMOD	0.00013343705
1,926	Counting with the Crowd	2013	VLDB	9.3637786e-05
2,832	Crowd Mining	2013	SIGMOD	7.9590386e-05
7,228	OASSIS: Query Driven Crowd Mining	2014	SIGMOD	5.5805857e-05

Semantically Similar Papers

#	Overall Rank	Paper	Year	Venue
1	3,171	Truth Inference in Crowdsourcing: Is the Problem Solved?	2017	VLDB
2	6,854	Exploratory Mining via Constrained Frequent Set Queries	1999	SIGMOD
3	92	CrowdDB: Answering Queries with Crowdsourcing	2011	SIGMOD
4	5,614	CrowdQ: Crowdsourced Query Understanding	2013	CIDR
5	12,474	Online Ordering of Overlapping Data Sources	2014	VLDB
6	8,952	CrowdMiner: Mining association rules from the crowd	2013	VLDB
7	2,832	Crowd Mining	2013	SIGMOD
8	12,404	NL2CM: A Natural Language Interface to Crowd Mining	2015	SIGMOD
9	8,951	Managing General and Individual Knowledge in Crowd Mining Applications	2015	CIDR
10	7,228	OASSIS: Query Driven Crowd Mining	2014	SIGMOD