Creation and Interaction with Large-scale Domain-Specific Knowledge Bases
Summary: Cloud-based Content Services for creating and querying large-scale domain-specific knowledge bases from unstructured and semi-structured data. End-to-end KB construction from heterogeneous sources with cross-lingual natural language queries and API access, demonstrated in a financial-domain instantiation. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. S. Bharadwaj (IBM)
- 2. L. Chiticariu (IBM Research-Almaden)
- 3. M. Danilevsky (IBM Research-Almaden)
- 4. S. Dhingra (IBM)
- 5. S. Divekar (IBM)
- 6. A. Carreno-Fuentes (IBM)
- 7. H. Gupta (IBM Research-India)
- 8. N. Gupta (IBM Research-India)
- 9. S.-D. Han (IBM)
- 10. M. Hernández (IBM Research-Almaden)
- 11. H. Ho (IBM)
- 12. P. Jain (IBM Research-India)
- 13. S. Joshi (IBM Research-India)
- 14. H. Karanam (IBM Research-India)
- 15. S. Krishnan (IBM Research-India)
- 16. R. Krishnamurthy (IBM Research-Almaden)
- 17. Y. Li (IBM Research-Almaden)
- 18. S. Manivannan (IBM)
- 19. A. Mittal (IBM Research-India)
- 20. F. Özcan (IBM Research-Almaden)
- 21. A. Quamar (IBM Research-Almaden)
- 22. P. Raman (IBM)
- 23. D. Saha (IBM Research-India)
- 24. K. Sankaranarayanan (IBM Research-India)
- 25. J. Sen (IBM Research-India)
- 26. P. Sen (IBM Research-Almaden)
- 27. S. Vaithyanathan (IBM)
- 28. M. Vasa (IBM)
- 29. H. Wang (IBM)
- 30. H. Zhu (IBM Research-Almaden)
BibTeX Citation
@article{bharadwaj_vldb17,
title = {{Creation and Interaction with Large-scale Domain-Specific Knowledge Bases}},
author = {Bharadwaj, S. and Chiticariu, L. and Danilevsky, M. and Dhingra, S. and Divekar, S. and Carreno-Fuentes, A. and Gupta, H. and Gupta, N. and Han, S.-D. and Hernández, M. and Ho, H. and Jain, P. and Joshi, S. and Karanam, H. and Krishnan, S. and Krishnamurthy, R. and Li, Y. and Manivannan, S. and Mittal, A. and Özcan, F. and Quamar, A. and Raman, P. and Saha, D. and Sankaranarayanan, K. and Sen, J. and Sen, P. and Vaithyanathan, S. and Vasa, M. and Wang, H. and Zhu, H.},
journal = {PVLDB},
series = {{VLDB} '17},
volume = {10},
number = {12},
doi = {10.14778/3137765.3137820},
url = {https://doi.org/10.14778/3137765.3137820},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 4 of 4 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,652 | Growing and Serving Large Open-domain Knowledge Graphs | 2023 | SIGMOD | 6.1335866e-05 |
| 6,530 | Natural Language Querying of Complex Business Intelligence Queries | 2019 | SIGMOD | 5.8500871e-05 |
| 7,482 | Table Extraction and Understanding for Scientific and Enterprise Applications | 2020 | VLDB | 5.6078973e-05 |
| 9,508 | An IDEA: An Ingestion Framework for Data Enrichment in AsterixDB | 2019 | VLDB | 5.2581623e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 459 | ATHENA: An Ontology-Driven System for Natural Language Querying over Relational Data Stores | 2016 | VLDB | 0.00018101318 |
| 6,394 | Midas: Integrating Public Financial Data | 2010 | SIGMOD | 5.8877829e-05 |
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