Tracing the lineage of view data in a warehousing environment

By Yingwei Cui, Jennifer Widom, Janet L. Wiener. ACM Transactions on Database Systems, 2000

496 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Signal Processing

View Paper: https://www.semanticscholar.org/paper/6cfbf053d22382cef7a924a4cf79bd422b9d96fb

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Citations in the corpus

Chimera: a virtual data system for representing, querying, and automating data derivation (2002, background): “Cui and Widom [12, 13] record the relational queries used to construct materialized views in a data warehouse, and then exploit this information to explain lineage.”
Data X-Ray: A Diagnostic Tool for Data Errors (2015, background): “Data provenance studies formalisms that express why a particular data item appears in a query result, or how that query result was produced in relation to input data [9, 11, 15, 32].”
Scorpion: Explaining Away Outliers in Aggregate Queries (2013, background): “Unfortunately, when tracing the inputs of an aggregate result, the existing provenance system will ﬂag a signiﬁcant portion of the dataset as the provenance [3].”
Provenance in Databases: Why, How, and Where (2009, methodology): “In this section, we start by discussing lineage, a notion of provenance for relational databases formalized by Cui et al. [27].”
Query-Oriented Data Cleaning with Oracles (2015, background): “Various notions of data provenance, such as lineage [15], why and where provenance [8], provenance semirings [30], have been proposed.”
An annotation management system for relational databases (2004, background): “The type of provenance studied by [9] is called why-provenance according to Buneman, Khanna, and Tan [6].”
Lineage tracing for general data warehouse transformations (2003, methodology): “Given a transformation speciﬁed as a standard relational operator or view, we can deﬁne and retrieve the exact data lineage for any output data item using the techniques introduced in [CWW00].”
Principles of dataspace systems (2006, background): “(For discussions of possible lineage functions in previous literature see [8, 11, 14, 15, 40].”
ULDBs: databases with uncertainty and lineage (2006, background): “, [2, 5, 20, 24, 28, 29, 32, 37, 40] for uncertain data and [12, 16, 17, 18, 35, 36] for data lineage).”
Lineage retrieval for scientific data processing: a survey (2005, methodology): “…et al. 2001] query results for DBMS, XML, data warehouse research using molecular biology databases; commercial applications [Buneman et al. 2000a; Cui et al. 2000; Buneman et al. 2001; Buneman et al. 2002b; Cui et al. 2003] results of web or Grid service requests physics experiments; biology…”