Lightweight ontologies mapping and the Semantic Similarity

Abstract –Ontology mapping is an important way to solve two mainly heterogeneity problem metadata and instance heterogeneity between ontologies [1], the former focuses on the intended meaning of described information, while the latter is more concerned about different representations of instances. In this paper, we mapped lightweight ontology exacted from WordNet tree-like structure with ontology based on semantic lexicon build by W3C to attain a XML schema file which preserving hierarchy information meanwhile each node contains URI linked to more complete information. Also we implement a method to calculate semantic similarity based on the cosine distance of 3 vectors exacted from WordNet’s semantic information. Experiment shows that it’s a feasible way for similarity calculation