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 |
|---|---|---|---|---|
| 7,116 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD | 4.8219732e-05 |
| 7,285 | Subjective Knowledge Base Construction Powered By Crowdsourcing and Knowledge Base | 2018 | SIGMOD | 4.7702194e-05 |
| 7,780 | A Natural Language Interface for Querying General and Individual Knowledge | 2015 | VLDB | 4.6489024e-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 | 0.00051273089 |
| 246 | Crowdsourced Databases: Query Processing with People | 2011 | CIDR | 0.00030952631 |
| 488 | Data Curation at Scale: The Data Tamer System | 2013 | CIDR | 0.00022029993 |
| 641 | Corleone: Hands-Off Crowdsourcing for Entity Matching | 2014 | SIGMOD | 0.00018759417 |
| 1,713 | Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing | 2014 | VLDB | 0.00010785323 |
| 2,255 | Counting with the Crowd | 2013 | VLDB | 9.1846281e-05 |
| 3,071 | CrowdFill: Collecting Structured Data from the Crowd | 2014 | SIGMOD | 7.6120337e-05 |
| 3,104 | Crowd Mining | 2013 | SIGMOD | 7.5577057e-05 |
| 4,483 | Optimal Crowd-Powered Rating and Filtering Algorithms | 2014 | VLDB | 6.1431599e-05 |
| 5,671 | Descriptive and Prescriptive Data Cleaning | 2014 | SIGMOD | 5.3797808e-05 |
| 7,224 | OASSIS: Query Driven Crowd Mining | 2014 | SIGMOD | 4.791302e-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 | 4.6489024e-05 |
| 7,577 | Pushing the Boundaries of Crowd-enabled Databases with Query-driven Schema Expansion | 2012 | VLDB | 4.703047e-05 |
| 11,920 | NL2CM: A Natural Language Interface to Crowd Mining | 2015 | SIGMOD | 4.1905499e-05 |
| 2,944 | Truth Inference in Crowdsourcing: Is the Problem Solved? | 2017 | VLDB | 7.8457167e-05 |
| 3,939 | CrowdQ: Crowdsourced Query Understanding | 2013 | CIDR | 6.6099823e-05 |
| 7,116 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD | 4.8219732e-05 |
| 5,458 | Crowdsourcing Applications and Platforms: A Data Management Perspective | 2011 | VLDB | 5.4952003e-05 |
| 3,104 | Crowd Mining | 2013 | SIGMOD | 7.5577057e-05 |
| 9,214 | Ontology Assisted Crowd Mining | 2014 | VLDB | 4.3680645e-05 |
| 7,224 | OASSIS: Query Driven Crowd Mining | 2014 | SIGMOD | 4.791302e-05 |