MapPSO Results for OAEI 2009

Abstract. This paper presents and discusses the results of the latest developments of the MapPSO system, which is an ontology alignment approach that is based on discrete particle swarm optimisation. Firstly it is recalled, how the algorithm approaches the ontology matching task as an optimisation problem, and how the specific technique of particle swarm optimisation is applied. Secondly, the results are discussed, which were achieved for the Benchmark data set of the 2009 Ontology Alignment Evaluation Initiative. 1 Presentation of the system With last year’s OAEI campaign the MapPSO system (Ontology Mapping by Particle Swarm Optimisation) has been introduced [1] as a novel research prototype, which is expected to become a highly scalable, massively parallel tool for ontology alignment. In the following subsection the basic idea of this approach will be sketched.

• Type: Conference
• Year: 2009
• Where: SEMWEB
• Authors: Jürgen Bock, Peng Liu 0002, Jan Hettenhausen
• Keywords: Internet Technology, Ontology Alignment, Ontology Alignment Approach, Particle Swarm Optimisation, SEMWEB 2009