The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
On the provenance of non-answers to queries over extracted data
Abstract
In information extraction, uncertainty is ubiquitous. For this reason, it is useful to provide users querying extracted data with explanations for the answers they receive. Providing the provenance for tuples in a query result partially addresses this problem, in that provenance can explain why a tuple is in the result of a query. However, in some cases explaining why a tuple is not in the result may be just as helpful. In this work we focus on providing provenance-style explanations for non-answers and develop a mechanism for providing this new type of provenance. Our experience with an information extraction prototype suggests that our approach can provide effective provenance information that can help a user resolve their doubts over non-answers to a query.
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Cites
Why and Where: A Characterization of Data Provenance
Buneman, P., Khanna, S., & Wang-Chiew, T. (2001) · Lecture Notes in Computer Science · doi:10.1007/3-540-44503-x_20 · Cited by 1,334
Green, T. J., Karvounarakis, G., & Tannen, V. (2007) · Proceedings of the twenty-sixth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems · doi:10.1145/1265530.1265535 · Cited by 812
Cited by
Sarawagi, S. (2008) · Foundations and Trends in Databases · doi:10.1561/1900000003 · Cited by 707
Big data challenge: a data management perspective
Chen, J., Chen, Y., Du, X., Li, C., Lu, J., Zhao, S., & Zhou, X. (2013) · Frontiers of Computer Science · doi:10.1007/s11704-013-3903-7 · Cited by 339
A survey on provenance: What for? What form? What from?
Herschel, M., Diestelkämper, R., & Ben Lahmar, H. (2017) · The VLDB Journal · doi:10.1007/s00778-017-0486-1 · Cited by 300
Metadata
- Authors
- Huang, J., Chen, T., Doan, A., & Naughton, J. F.
- Venue
- Proceedings of the VLDB Endowment
- Published
- 2008-08
- Volume
- 1
- Issue
- 1
- Pages
- 736-747
- ISSN
- 2150-8097 (ISSN-L)
- OpenAlex
- W2166709576
- Cited by
- 166
- References
- 2
- FWCI
- 16.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Huang, J., Chen, T., Doan, A., & Naughton, J. F. (2008). On the provenance of non-answers to queries over extracted data. Proceedings of the VLDB Endowment. https://doi.org/10.14778/1453856.1453936
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
