TY - CHAP
T1 - EvoMatch
T2 - An evolutionary algorithm for inferring schematic correspondences
AU - Guo, Chenjuan
AU - Hedeler, Cornelia
AU - Paton, Norman W.
AU - Fernandes, Alvaro A.A.
PY - 2013
Y1 - 2013
N2 - Schema matching provides an important foundation for both manual and semi-automatic derivation of mappings between sources. However, schema matchers typically return large numbers of potentially inconsistent matches that are neither conducive to automatic mapping generation nor readily digested by mapping developers. This paper presents a method, EvoMatch, for automatically inferring schematic correspondences, from which mappings can be generated directly. It aims to offer a more expressive characterization of the relationships between sources than matches identified by existing schema matching methods. In particular, the paper contributes: i) an evolutionary search method for inferring schematic correspondences; ii) an objective function for calculating the fitness value of a solution within the search space; and iii) an empirical evaluation assessing the effectiveness of EvoMatch for inferring schematic correspondences in comparison with well established existing techniques. In doing so, EvoMatch automatically identifies correspondences that can be used directly to bootstrap information integration systems, or to inform the manual refinement of mappings.
AB - Schema matching provides an important foundation for both manual and semi-automatic derivation of mappings between sources. However, schema matchers typically return large numbers of potentially inconsistent matches that are neither conducive to automatic mapping generation nor readily digested by mapping developers. This paper presents a method, EvoMatch, for automatically inferring schematic correspondences, from which mappings can be generated directly. It aims to offer a more expressive characterization of the relationships between sources than matches identified by existing schema matching methods. In particular, the paper contributes: i) an evolutionary search method for inferring schematic correspondences; ii) an objective function for calculating the fitness value of a solution within the search space; and iii) an empirical evaluation assessing the effectiveness of EvoMatch for inferring schematic correspondences in comparison with well established existing techniques. In doing so, EvoMatch automatically identifies correspondences that can be used directly to bootstrap information integration systems, or to inform the manual refinement of mappings.
UR - https://www.scopus.com/pages/publications/84893372986
U2 - 10.1007/978-3-642-45315-1_1
DO - 10.1007/978-3-642-45315-1_1
M3 - 章节
AN - SCOPUS:84893372986
SN - 9783642453144
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 1
EP - 26
BT - Transactions on Large-Scale Data- and Knowledge-Centered Systems XII
A2 - Hameurlain, Abdelkader
A2 - Kung, Josef
A2 - Wagner, Roland
ER -