Abstract:

Because of the low efficiency and low accuracy existing in the traditional ontology matching algorithms, we introduce an automatic ontology matching algorithm based on artificial immunity to rapidly get the required subontology from the existing ontology pool. The algorithm constructs an antigen ontology model according to the information of users’ behaviors, determines its domain context by matching the context, obtains the ontology with the highest matching degree via structure matching, and finally gets the right ontology through semantic matching. The experimental results show that the algorithm can improve the precision and the efficiency of ontology matching.

Key words: ontology matching;antigen ontology;context matching;structure matching;semantic matching