Ontology Learning Algorithm Based on BMRM Iterative Ranking
Wei Dong Gao · Science Technology and Engineering · 2013
As a structured model for data storage and representation,ontology has become a hot research field of information retrieval,and is used in biomedical,geography,social science and many other fields.A new ontology similarity calculation and ontology mapping algorithm based on the BMRM iterative ranking learning method are raised.The optimal parameter vector is built by BMRM iterative,and then obtains the optimal ranking function,which maps each vertex in ontology graph or multi-ontology graph into a real number.By calculating the difference between the real number of two vertices,the similarity between their correspond concepts is determined.Finally,the algorithm act on GO ontology and computer software,respectively.The comparison of the experimental data shows that the new algorithm has a higher efficiency on the specific field of application.