Why and Where: A Characterization of Data Provenance

By Peter Buneman, Sanjeev Khanna, Wang Chiew Tan. International Conference on Database Theory, 2001

1,490 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/71ef214efae92e788b4020358d23d83525ab193e

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Citations in the corpus

Linked Data: Evolving the Web into a Global Data Space (2011, background): “2 Provenance Metadata The ability to track the origin of data is a key component in building trustworthy, reliable applications [38].”
A survey of data provenance in e-science (2005, background): “Buneman et al [6], who refer to data provenance in the context of database systems, define it as the description of the origins of data and the process by which it arrived at the database.”
ProvDB: A System for Lifecycle Management of Collaborative Analysis Workflows (2016, background): “On the other hand, in dataﬂow systems where the operators are written in a declarative language (e.g., SQL, Pig Latin, Spark), data provenance at record level can be captured if needed [5,6,8,10,17,22,31,53].”
Trio: A System for Integrated Management of Data, Accuracy, and Lineage (2004, background): “4In [BCTV04, BKT01 ], an interesting distinction is drawn between where lineage and why lineage in the definition for the “exact lineage” of a view tuple t. In Trio it is possible we will need to support both types.”
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.”
Lineage retrieval for scientific data processing: a survey (2005, methodology): “[Cui et al. 1997; Buneman et al. 2001] Allows updates to sources from materialized relational views.”
Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO (2017, background): “[13] differentiate between why provenance and where provenance: Why provenance answers the question why a particular data item is stored in the database.”
Provenance management in curated databases (2006, background): “A fair amount of work has already been done on provenance and annotation for relational queries (including [2, 6, 8, 16, 22, 24]); however, issues such as how to assign provenance information to the results of joins and unions which may “fuse” data from different sources remain ill-understood.”
Visual Analytics: Scope and Challenges (2008, background): “Data provenance as the science of understanding where data has come from and why it arrived in the user’s database [25] is closely connected to the latter topic.”
Open Civic Data: Of the People, For the People, By the People (2014, background): “Practical and theoretical work on data provenance [30, 31, 32] and data quality [33] are also extremely relevant.”
Fides: Towards a Platform for Responsible Data Science (2017, background): “Provenance propagation and interrogation in Fides will build on a large body of work in the workflows community [3, 15], where provenance is typically coarse-grained and records the sequence of functional steps that led to a result, and in the database community [4, 9, 19], where provenance captures”
Principles of dataspace systems (2006, background): “(For discussions of possible lineage functions in previous literature see [8, 10 , 13, 14, 38].)”
“Everyone wants to do the model work, not the data work”: Data Cascades in High-Stakes AI (2021, background): “Data documentation, which is a crucial aspect of facilitating collaboration, is well studied in the database and data management community [19, 23].”
Provenance Collection Support in the Kepler Scientific Workflow System (2006, neutral): “[10, 19].”
DBpedia: A Nucleus for a Web of Open Data (2007, background): “Such a collaborative, grass-roots Semantic Web requires a new model of structured information representation and management: first and foremost, it must handle inconsistency, ambiguity, uncertainty, data provenance [3,6,8,7], and implicit knowledge in a uniform way.”
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].”