A conceptual semantic similarity calculation model based on tourism domain ontology

Calculation of the conceptual semantic similarity is the key technology in information retrieval based on domain ontology. While, traditional semantic similarity calculation models only focus on certain influencing factor, which leads to poor convergence performances and lower accuracy. In this paper, a Semantic Distance based Relationship Path Semantic Similarity Calculation Model (SDRPCM) is proposed and built. Proposed the concept of relationship path, analyzed its five parameters: conceptual relationship type, conceptual relationship strength, local node density, node attributes and granularity degree of clusters, and their formulas are given. Based on three impact factors of SDRPCM model conceptual layer relationship, coincidence degree of ancestral relationship and relationship path weight, the formula and implemental progress of SDRPCM are given. The experimental results indicate that SDRPCM has better performance than classical models such as DBCM and ICBCM, meaning that, the semantic similarity of SDRPCM is more consistent with the expert experience in the field.