A Dynamic Multistrategy Ontology Alignment Framework Based on Semantic Relationship using WordNet

Ontology matching has emerged as a crucial step when information sources are being integrated. Hence, ontology matching has attracted considerable attention in both academia and industry. Clearly, as information sources grow rapidly, manual ontology matching becomes tedious, time-consuming and leads to errors and frustration. Thus the need for automated and semi-automated approaches becomes increasingly necessary and should especially consider the challenges of matching large schemas. This paper presents a dynamic multistrategy ontology alignment framework, named XMap++ (eXtensible Mapping) which exploits WordNet as a background knowledge sources. We propose a systematic approach to quantitatively estimate the similarity characteristics for each alignment task and propose a strategy selection method to automatically combine the matching strategies based on two estimated factors. Keywords-component; Ontology alignment; Linguistic similarity; Structural similarity; Dynamic strategies; Similarities aggregation; WordNet.