NL2CM: A Natural Language Interface to Crowd Mining
Summary: NL2CM translates natural language questions into crowd mining queries, pairing general data with unrecorded personal data in a modular system. It adds NL-to-query modules, interactive disambiguation, and outputs SPARQL-based OASSIS-QL queries. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Yael Amsterdamer (Tel Aviv University)
- 2. Anna Kukliansky (Tel Aviv University)
- 3. Tova Milo (Tel Aviv University)
BibTeX Citation
@inproceedings{amsterdamer_sigmod15,
title = {{NL2CM: A Natural Language Interface to Crowd Mining}},
author = {Amsterdamer, Yael and Kukliansky, Anna and Milo, Tova},
series = {{SIGMOD} '15},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/2723372.2735370},
url = {https://dl.acm.org/doi/10.1145/2723372.2735370},
year = {2015}
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Outgoing Citations (Sorted by Pagerank)
Showing 3 of 3 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 179 | Constructing an Interactive Natural Language Interface for Relational Databases | 2015 | VLDB | 0.00026838277 |
| 4,568 | CrowdMatcher: Crowd-Assisted Schema Matching | 2014 | SIGMOD | 6.625684e-05 |
| 7,081 | OASSIS: Query Driven Crowd Mining | 2014 | SIGMOD | 5.7086247e-05 |
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