DocumentCode :
2562016
Title :
Targeted ontology mapping
Author :
Cheatham, Michelle
Author_Institution :
The Design Knowledge Company
fYear :
2010
fDate :
17-21 May 2010
Firstpage :
123
Lastpage :
132
Abstract :
We examine the ontology mapping problem with three different groups of readers in mind: system designers, who need to know what is and isn´t possible given the current state of alignment algorithms and what pitfalls to watch out for when someone suggests the use of ontologies in a project; system developers, who require knowledge of specific algorithms and useful software libraries; and semantic interoperability researchers who may be interested in the potential efficacy of using a genetic algorithm to choose which similarity metrics should be employed to map two ontologies, based on a small, carefully-chosen subset of each ontology.
Keywords :
genetic algorithms; ontologies (artificial intelligence); open systems; software libraries; software metrics; genetic algorithm; ontology mapping problem; semantic interoperability; similarity metrics; software libraries; Algorithm design and analysis; Application software; Collaboration; Collaborative software; Genetic algorithms; Humans; Ontologies; Software algorithms; Software libraries; Watches; genetic algorithm; ontology alignment; ontology mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Collaborative Technologies and Systems (CTS), 2010 International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
978-1-4244-6619-1
Type :
conf
DOI :
10.1109/CTS.2010.5478518
Filename :
5478518
Link To Document :
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