MapPSO results for OAEI 2009

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

With the 2008 OAEI campaign the MapPSO system (Ontology Mapping by Particle Swarm Optimisation) was introduced [1] as a novel approach to tackle the ontology alignment problem

Secondly, SOBOM utilizes Semantic Inductive Similarity Flooding algorithm to compute the similarity of concepts between different sub-ontologies derived from the two ontologies

A first general remark about the results is that three of the participating systems, i.e., AFlood, ASMOV, and DSSim, provide better results in terms of precision rather than in terms

GeRoMeSuite is a generic model management system which provides several functions for managing complex data models, such as schema integration, definition and execution of

Given two consistent ontologies, KOSIMap aligns entities in the source ontology to entities in the target ontology by extracting background knowledge about entities based on

To solve the matching problem without rich literal information, a similarity propagation matcher with strong propagation condition (SSP matcher) is presented, and the

Secondly, SOBOM utilizes Semantic Inductive Similarity Flooding algorithm to compute the similarity of the concepts between the sub-ontologies derived from the two