Schema Mapping as Query Discovery

By Renée J. Miller, L. Haas, Mauricio A. Hernández. Very Large Data Bases Conference, 2000

526 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/a0790bf8d16e0d5e0374566881dfdfb2f20faa88

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Ontological Smoothing for Relation Extraction with Minimal Supervision (2012, background): “While MapOnto and Clio handle complex mappings, they are semi-automatic tools that depend on user guidance.”
Similarity flooding: a versatile graph matching algorithm and its application to schema matching (2002, background): “The work in [15] addresses the related problem of determining mapping expressions between matching elements.”
Schema mappings, data exchange, and metadata management (2005, methodology): “This work was originally motivated by Clio, a schema mapping and data exchange system built at the IBM Almaden Research Center [29, 33].”
Heterogeneous substitution systems revisited (2016, unknown): “We design a three-tier MH-mABNet architecture where IAB nodes are clustered according to spatial proximity.”
Model management 2.0: manipulating richer mappings (2007, background): “The need for a more powerful mapping designer was recognized by Miller, Haas, and Hernandez [ 75 ] in the first of a long series of papers about the Clio project (e.g., [49][76][99][102]).”
Composing schema mappings: second-order dependencies to the rescue (2004, background): “We note that, although the term “schema mapping” or “mapping” has been used earlier in the literature (for instance, in [17, 18]), it is a bit of a misnomer, as a schema mapping is not a mapping in the traditional mathematical sense, but actually it is a schema (although partitioned in two parts) to”
Applying Model Management to Classical Meta Data Problems (2003, methodology): “Another approach to adding semantics to mappings is to develop a design tool for the purpose, such as Clio [17,27].”
Potter's Wheel: An Interactive Data Cleaning System (2001, methodology): “We intend to extend Potter’s Wheel with a system that handles interactive specification of schema mappings (such as Clio [19]).”
Query-Oriented Data Cleaning with Oracles (2015, background): “As in interactive systems such as data cleaning systems (e.g., [53, 21]) and mapping-design systems (e.g., [45]), we assume that a (domain expert) member has at least some knowledge about the ground truth.”
Data exchange: semantics and query answering (2003, methodology): “We point out that schema mapping tools, such as Clio [26,27], permit the (semi-) automatic discovery of such source-to-target dependencies.”
The PROMPT suite: interactive tools for ontology merging and mapping (2003, background): “users themselves to specify matching rules (e.g., Clio ( Miller et al., 2000 )).”
A survey of approaches to automatic schema matching (2001, methodology): “In [ MHH00 ], Miller et al. present an algorithm for deriving a mapping between the target and source, given a set of element and substructure matches and match expressions.”
Reconciling schemas of disparate data sources: a machine-learning approach (2001, background): “The Clio system [18] introduces value correspondences, which specify functional relationships among related elements (e.”