MapPSO and MapEVO results for OAEI 2011
Jürgen Bock, Carsten Dänschel, Matthias Stumpp · 2011
Abstract. This paper presents and discusses the results produced by the alignment systems MapPSO and MapEVO for the 2011 Ontology Alignment Evaluation Initiative (OAEI). The two systems implement two variants of population-based optimisation algorithms applied to the ontology alignment problem. MapPSO is based on discrete particle swarm optimisation, while MapEVO is based on evolutionary programming. Both systems optimise the same objective function, i.e. a function reflecting the quality of an alignment. Firstly, specific characteristics of the systems and their relation to the results obtained in the OAEI are discussed. Secondly, the results for the single tracks are presented and discussed.