Managing General and Individual Knowledge in Crowd Mining Applications
Summary: Architecture integrating general (ontologies/DB) and individual (crowd habits/preferences) knowledge for mixed reasoning, automatic task generation, and result analysis. Uses it to compare/extend crowdsourcing systems, highlight research challenges, and demonstrate reuse with OASSIS. (summarized by gpt-5-mini on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yael Amsterdamer
- 2. Susan B. Davidson
- 3. Anna Kukliansky
- 4. Tova Milo
- 5. Slava Novgorodov
- 6. Amit Somech
Incoming Citations (Sorted by Pagerank)
Showing 3 of 3 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,117 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD | 4.826509e-05 |
| 7,292 | Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base | 2018 | SIGMOD | 4.7740174e-05 |
| 7,780 | A Natural Language Interface for Querying General and Individual Knowledge | 2015 | VLDB | 4.6533677e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 11 of 11 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 94 | CrowdDB: Answering Queries with Crowdsourcing | 2011 | SIGMOD | 0.00051013264 |
| 249 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00030740523 |
| 489 | Data Curation at Scale: The Data Tamer System | 2013 | CIDR | 0.00022030728 |
| 643 | Corleone: Hands-Off Crowdsourcing for Entity Matching | 2014 | SIGMOD | 0.00018754451 |
| 1,716 | Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing | 2014 | VLDB | 0.00010795718 |
| 2,334 | Counting with the Crowd | 2013 | VLDB | 9.0161817e-05 |
| 3,067 | CrowdFill: Collecting Structured Data from the Crowd | 2014 | SIGMOD | 7.6180371e-05 |
| 3,100 | Crowd Mining | 2013 | SIGMOD | 7.5634778e-05 |
| 4,479 | Optimal Crowd-Powered Rating and Filtering Algorithms | 2014 | VLDB | 6.149053e-05 |
| 5,660 | Descriptive and Prescriptive Data Cleaning | 2014 | SIGMOD | 5.3847321e-05 |
| 7,224 | OASSIS: Query Driven Crowd Mining | 2014 | SIGMOD | 4.7959024e-05 |
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Semantically Similar Papers
| Overall Rank | Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,780 | A Natural Language Interface for Querying General and Individual Knowledge | 2015 | VLDB | 4.6533677e-05 |
| 7,572 | Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion | 2012 | VLDB | 4.7075553e-05 |
| 11,912 | NL2CM: A Natural Language Interface to Crowd Mining | 2015 | SIGMOD | 4.1945683e-05 |
| 2,937 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB | 7.853108e-05 |
| 3,935 | CrowdQ: Crowdsourced Query Understanding | 2013 | CIDR | 6.6163464e-05 |
| 7,117 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD | 4.826509e-05 |
| 5,450 | Crowdsourcing Applications and Platforms: A Data Management Perspective | 2011 | VLDB | 5.5003491e-05 |
| 3,100 | Crowd Mining | 2013 | SIGMOD | 7.5634778e-05 |
| 9,212 | Ontology Assisted Crowd Mining | 2014 | VLDB | 4.3722536e-05 |
| 7,224 | OASSIS: Query Driven Crowd Mining | 2014 | SIGMOD | 4.7959024e-05 |