In the Web semantic environment,how to reduce the structural changes of ontologies during their continuous evolution is chal-lenging.Aiming at the problem,we propose an ontology arithmetic algorithm to reduce the structural changes during ontology evolution and improve the stability and maintainability of ontologies.Unlike traditional ontology evolution methods that mainly focus on inter-entity relationships,we integrate the conceptual relationships between entities based on entity frequencies and inter-entity relationship fre-quencies when calculating the ontology evolution cost,thus realizing a more fine-grained analysis of entity impact.In addition,we propose additional evolution strategies to select the optimal evolution strategy during the evolution process and retain more complex semantic relations to achieve minimal structural changes.Experimental results show that the evolutionary approach proposed performs well in dealing with ontology evolution involving complex semantic relations,effectively reducing the evolutionary cost and improving the structural similarity before and after ontology evolution.These research results are of great significance in evolving and updating ontologies in Web semantic environments and provide useful improvement directions and practical experience in the field of ontology en-gineering.
维普
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