Natural Language Semantic Similarity Algorithm Based on Ontology
Lanfang Zhang · Journal of Guilin University of Technology · 2012
Based on graph theory concept semantic measurement method,the influencing factors of semantic similarity are improved.A natural language concept semantics similarity algorithm is presented.The relationships between natural language and ontology are analyzed,and the factors affecting concepts semantic similarity such as node density,node depth,hierarchical order of nodes and so on,are improved by ontology to accurately define the basic terms and relationships in related fields.Considering the compositive influence factors of concept semantic distance,the relationship between concepts,concept attributes and hierarchical order,an improved ontology-based semantic similarity computation algorithm is put forward.Experiment result shows that the algorithm accuracy is higher than other algorithms.