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MapPSO is a tool for Ontology Alignment, which
uses
Discrete Particle Swarm Optimisation. A particle swarm is used to
search for the optimal alignment. The algorithm is massively parallel
and adapts naturally on parallel architectures.
Features:
- Discrete particle swarm optimisation as a massively
parallel method to find an optimal alignment
- Anytime behaviour possible
- General framework for easy adaptation of base matchers to
adapt to a particular alignment problem
Publications:
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Bock, J., Hettenhausen J.:
MapPSO Results for OAEI 2008. 3rd Int.
Workshop on Ontology Matching collocated with the 7th Int. Semantic Web
Conference (ISWC 2008) (October 2008). Paper.
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Bock, J., Liu, P., Hettenhausen J.:
MapPSO Results for OAEI 2009. 4rd Int.
Workshop on Ontology Matching collocated with the 8th Int. Semantic Web
Conference (ISWC 2009) (October 2009). Paper.
For sources, binaries, and OAEI results, please check the project site.
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