Personalized route planning based on the semantic network: A case study of Kanazawa City, Japan

Abstract

Kanazawa is a historical city with famous traditional architecture, temples and merchant areas etc. The amount of places in these areas is large and each place has their own characteristic, different relations also exist among different places. But these figures and relations are not systematized to become a set of knowledge. This study aims to propose a prototype of personalized route planning system by utilizing semantic analysis method for Kanazawa City from the perspective of the individual, which is different from the perspective presented by the public transportation network. As a result, the supposed route with semanteme can cater to individual's willing for personalized route planning in Kanazawa.