Data integration: the teenage years

By Alon Y. Halevy, Anand Rajaraman, Joann J. Ordille. Very Large Data Bases Conference, 2006

706 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/6a063509ea79ab01571e444b9e4a3cea38239fdd

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Citations in the corpus

Management of probabilistic data: foundations and challenges (2007, background): “…Probabilistic Exact Hardness [16] Algorithms [17] PTIME for safe queries (Th. 3.9) Approx Hardness [18] Algorithms [63] PTIME for conjunctive queries (Th. 3.4) Figure 1: Inference (deterministic and probabilistic) in AI and in Databases bines logic with some measure of the uncertainty.”
Seeping Semantics: Linking Datasets Using Word Embeddings for Data Discovery (2018, background): “For example, schema matching and data integration tools find same-as relationships: fields that are the same in a source and a target schema [1].”
Big data challenge: a data management perspective (2013, background): “• Uncertainty and provenance The increase of interests in uncertainty and provenance somehow confirms the prediction by Alon Halevy in 2006 [18] that uncertainty and lineage will become a major challenge for data integration.”
A survey of machine learning for big data processing (2016, background): “2 Possible remedies In terms of heterogeneous data, data integration [81, 82], which aims to combine data residing at different sources and provide the user with a unified view of these data, is a key method.”
Critical analysis of Big Data challenges and analytical methods (2017, background): “Halevy, Rajaraman, and Ordille (2006) assert that the indecision and provenance of data are also a major challenge for data aggregation and integration.”
Data Wrangling: The Challenging Yourney from the Wild to the Lake (2015, background): “…evolution from the solid foundation of work in data federation and data integration, including Extract-Transform-Load (ETL) techniques, data cleansing, schema integration and metadata management systems [13][15][29][33] provide a historical perspective of the research challenges in these areas.”
Data integration with uncertainty (2007, background): “These systems have recently enjoyed significant research and commercial success [12, 14, 16].”