Affiliation:
1. Brigham Young University
2. University of Arizona South
Abstract
Schema mapping produces a semantic correspondence between two schemas. Automating schema mapping is challenging. The existence of 1:
n
(or
n
:1) and
n:m
mapping cardinalities makes the problem even harder. Recently, we have studied automated schema mapping techniques (using data frames and domain ontology snippets) that not only address the traditional 1:1 mapping problem, but also the harder 1:
n
and
n:m
mapping problems. Experimental results show that the approach can achieve excellent precision and recall. In this paper, we share our experiences and lessons we have learned during our schema mapping studies.
Publisher
Association for Computing Machinery (ACM)
Subject
Information Systems,Software
Cited by
34 articles.
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