The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Tracing the lineage of view data in a warehousing environment
Open accessAbstract
We consider the view data lineage problem in a warehousing environment: For a given data item in a materialized warehouse view, we want to identify the set of source data items that produced the view item. We formally define the lineage problem, develop lineage tracing algorithms for relational views with aggregation, and propose mechanisms for performing consistent lineage tracing in a multisource data warehousing environment. Our result can form the basis of a tool that allows analysts to browse warehouse data, select view tuples of interest, and then “drill-through” to examine the exact source tuples that produced the view tuples of interest.
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Cites
An overview of data warehousing and OLAP technology
Chaudhuri, S., & Dayal, U. (1997) · ACM SIGMOD Record · doi:10.1145/248603.248616 · Cited by 2,424
Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals
Gray, J., Chaudhuri, S., Bosworth, A., Layman, A., Reichart, D., Venkatrao, M., Pellow, F., & Pirahesh, H. (1997) · Data Mining and Knowledge Discovery · doi:10.1023/a:1009726021843 · Cited by 2,134
(1988) · Computer Science Press, Inc. eBooks · Cited by 1,435
Proceedings of the 27th International Conference on Very Large Data Bases
Apers, P. M. G., Atzeni, P., Ceri, S., Paraboschi, S., Ramamohanarao, K., & Snodgrass, R. T. (2001) · Cited by 845
Research problems in data warehousing
Widom, J. (1995) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/221270.221319 · Cited by 642
Self-citationImplementation of integrity constraints and views by query modification
Stonebraker, M. (1975) · Proceedings of the 1975 ACM SIGMOD international conference on Management of data - SIGMOD '75 · doi:10.1145/500080.500091 · Cited by 465
Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining
Agrawal, R., & Stolorz, P. (1998) · Knowledge Discovery and Data Mining · Cited by 252
Supporting fine-grained data lineage in a database visualization environment
Woodruff, A., & Stonebraker, M. (2002) · Proceedings 13th International Conference on Data Engineering · doi:10.1109/icde.1997.581742 · Cited by 197
Practical lineage tracing in data warehouses
Cui, Y., & Widom, J. (2002) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2000.839437 · Cited by 154
Self-citationA System Prototype for Warehouse View Maintenance
Wiener, J. L., Gupta, H., Labio, W. J., Zhuge, Y., García-Molina, H., & Widom, J. (1996) · Cited by 73
Self-citation
Cited by
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
ULDBs: databases with uncertainty and lineage
Benjelloun, O., Sarma, A. D., Halevy, A. Y., & Widom, J. (2006) · doi:10.5555/1182635.1164209 · Cited by 447
Self-citationA 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
The Foundations for Provenance on the Web
Moreau, L. (2010) · Foundations and Trends® in Web Science · doi:10.1561/1800000010 · Cited by 168
A systematic review of provenance systems
Pérez, B., Rubio, J., & Sáenz-Adán, C. (2018) · Knowledge and Information Systems · doi:10.1007/s10115-018-1164-3 · Cited by 66
Metadata
- Authors
- Cui, Y., Widom, J., & Wiener, J. L.
- Venue
- ACM Transactions on Database Systems
- Published
- 2000-06
- Volume
- 25
- Issue
- 2
- Pages
- 179-227
- ISSN
- 0362-5915 (ISSN-L)
- 1557-4644
- OpenAlex
- W1983178058
- Cited by
- 434
- References
- 12
- FWCI
- 10.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.