Ontology-based Comprehensive Weighted Similarity Algorithm Research

As existing similarity algorithms are hampered by low accuracy and recall rates, a comprehensive ontology-based weighted similarity algorithm was proposed for case retrieval. Taking into account the various attributes of the case, different attribute calculation methods were used and each attribute was weighted in accordance and the similarity of the case was calculated. The similarity algorithm was validated by three psychological counseling cases. By comparing the traditional similarity algorithm based on the nearest distance and the weighted similarity algorithm, this paper demonstrates that the weighted similarity algorithm exhibit higher accuracy.