Data integration: a theoretical perspective

By Maurizio Lenzerini. ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2002

3,046 citations recorded by the source corpus.

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

View Paper: https://www.semanticscholar.org/paper/014110225603dd5e0f848a43878afa240034bb19

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Citations in the corpus

Toward Scalable Systems for Big Data Analytics: A Technology Tutorial (2014, methodology): “The data warehouse method [102], also known as ETL, consists of the following three steps: extraction, transformation and loading.”
iMAP: discovering complex semantic matches between database schemas (2004, background): “For example, in data integration settings, we map many sources into a single mediated schema [14, 9].”
Methodologies for data quality assessment and improvement (2009, background): “Data and schema integration [Lenzerini 2002] is a broad area of research that partially overlaps with data quality.”
Principles of dataspace systems (2006, background): “Significant amount of research has focused on developing efficient techniques for reformulation and for understanding how the complexity of reformulation depends on the expressive power of the language used for semantic mappings [31, 36, 39].”
A general datalog-based framework for tractable query answering over ontologies (2009, methodology): “Computing Laboratory and Oxford-Man Institute of Quantitative Finance, University of Oxford.”
Provenance in Databases: Why, How, and Where (2009, background): “, data exchange [47], data integration [48], and dataspaces [45]).”
Translating Web Data (2002, background): “schema is modeled as a view on the target schema [8].”
Foundations of SPARQL query optimization (2008, background): “We emphasize that our results immediately carry over to data exchange [28] and integration [20], query answering using views [15], and the implication problem for constraints.”
The MASTRO system for ontology-based data access (2011, methodology): “From the research point of view, semantic data integration [22] has been studied deeply in the last two decades, producing a number of interesting results.”
Ontology Alignment Evaluation Initiative: Six Years of Experience (2011, methodology): “There have been different formalizations of the matching process and the results generated by this process [5; 42; 38; 59; 70].”
Big Data: A Survey (2014, background): “bination of data from different sources and provides users with a uniform view of data [66].”
Web-Scale Data Integration: You can afford to Pay as You Go (2007, methodology): “Various languages have been proposed for specifying these mappings [20, 25] and multiple techniques developed for creating these mappings semi-automatically [30].”
Towards business intelligence systems success: Effects of maturity and culture on analytical decision making (2012, background): “Future studies may extend our work to settings with different information behavior [52] and also to study these phenomena in organizations with different organizational cultures [48].”
Ontology Matching (2007, methodology): “There have been different formalisations of matching and its result (Bernstein et al. 2000; Lenzerini 2002; Kalfoglou and Schorlemmer 2003b; Bouquet et al. 2004a; Zimmermann et al. 2006; Bellahsene et al. 2011).”
Schema mappings, data exchange, and metadata management (2005, methodology): “Tuple-generating dependencies have been extensively used in data integration to specify constraints between the source schema and the global schema (see [23] for an overview).”
Composing Mappings Among Data Sources (2003, background): “In the past, research has focused on the development of languages for specifying semantic mappings [18, 21], and algorithms that use mappings to answer queries in data sharing systems (see [28, 18, 11] for surveys).”
Data exchange: semantics and query answering (2003, background): “It should be noted that such incomplete specification arises naturally in many practical scenarios of data exchange (or data integration for that matter; see [18,21]).”