Case-Based Support System for Collaborative Tourism Planning

Abstract

Recently, the local community frequently addresses the tourism planning through their collaboration. The process of the collaborative tourism planning consists of learning and consensus building. Without the knowledge of the tourism planning, it is difficult to begin the collaborative tourism planning. The practical cases of tourism planning are available online and include useful knowledge for other tourism planning. So, I propose the support system for the collaborative tourism planning by using the cases that are collected via Internet. The case-based support system provides two functions: a case retrieval function and a key point extraction function. First the cases are retrieved by the related words to the tourism resources and the words to indicate the situation of the tourist site. Next the cases are clustered and the labels of the clusters are extracted as the key points. Through the discussion of the case-based support system, I describe the issues to realize the support system.