Semantic Similarity between Concepts from Different OWL Ontologies

Ontologies are widely used and play important roles in applications related to knowledge management, knowledge engineering, natural language processing, information retrieval, etc. Computing semantic similarity between concepts from different ontologies is important in ontology operations such as mapping, aligning, and integrating. This paper presents an algorithm to compute the semantic similarity between concepts from different ontologies based on OWL. The concept similarity is the combination of the five components: syntactic, properties, neighborhood, context similarity, and equivalent similarity. It improves previous work by adding the context and equivalent similarity dimension. The experimental results confirm the viability of the algorithm.