publication . Doctoral thesis . 2013

Learning Expressive Linkage Rules for Entity Matching using Genetic Programming

Isele, Robert;
Open Access German
  • Published: 01 Jan 2013
A central problem in data integration and data cleansing is to identify pairs of entities in data sets that describe the same real-world object. Many existing methods for matching entities rely on explicit linkage rules, which specify how two entities are compared for equivalence. Unfortunately, writing accurate linkage rules by hand is a non-trivial problem that requires detailed knowledge of the involved data sets. Another important issue is the efficient execution of linkage rules. In this thesis, we propose a set of novel methods that cover the complete entity matching workflow from the generation of linkage rules using genetic pr...
free text keywords: 500 Naturwissenschaften
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