THALIA: Test Harness for the Assessment of Legacy Information Integration Approaches
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
YAGO: A Large Ontology from Wikipedia and WordNet
Web Semantics: Science, Services and Agents on the World Wide Web
DBpedia - A crystallization point for the Web of Data
Web Semantics: Science, Services and Agents on the World Wide Web
The WEKA data mining software: an update
ACM SIGKDD Explorations Newsletter
A cognitive support framework for ontology mapping
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Semantic Web
A survey of schema-based matching approaches
Journal on Data Semantics IV
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One-to-one correspondences are not always sufficient to accurately align ontologies, and instead complex correspondences with conditions and transformations may be required. Correspondence patterns provide models which can be used to guide the process of developing complex correspondences. However, it is necessary to first identify which pattern to apply to a given alignment problem. This PhD proposes the development of algorithms, methods and processes for refining elementary correspondences between concepts or relations into complex ones by identifying which correspondence pattern best represents a given correspondence. To date an evaluation of a system to refine correspondences between classes in the YAGO and DBpedia ontologies has been completed. This evaluation showed that for a subsumption correspondence, a training set of 30 instances of the class being mapped was sufficient to refine the match to a conditional one 89% of the time. Hence we have shown that this is a promising approach for correspondences with a conditional element, and correspondences with a translation element will be examined next.