# On Ontology-Based Tourist Knowledge Representation and Recommendation
## 5 Conclusions and Further Work  
The study applied ontology into the development of a tourist knowledge representation and recommendation mechanism. It is hoped that through the application of Internet, tourist knowledge can be effective managed and used. It may be able to turn the OTR on various blogs and web forums into valuable information. Travelers can extract helpful tourist attraction information to assist their traveling decision-making. In addition, the method may also be able to help tourism business to understand current popular tourist attractions. The tourism business may use the information as the reference to design their tourism products. It may improve their competitiveness in the tourism market. The primary results and contributions of this study are summarized as follows:  
1. Ontology-based tourist knowledge analysis: Based on the features of OTR and ontology, this study designed an ontology-based tourist knowledge representation and recommendation model to analyze OTR content. It is expected that this can help users to find knowledge to better plan tours. 2. Ontology-based tourist knowledge representation and recommendation method: Based on the ontology-based tourist knowledge representation and recommendation model, the study developed a method for ontology-based tourist knowledge representation and recommendation. The method includes an OTR collection module, OTR content analysis module, tourist knowledge ontology construction module, and tourist attraction recommendation module. 3. eWOM analysis mechanism: The study developed a method for ontology-based tourist knowledge representation and recommendation. Through the automatization of identifying and analyzing OTR, it is expected that this approach can provide the tourist knowledge that travelers need when planning their trips. 4. This system evaluation of this study was conducted according to the questionnaires of [PERSON] and [PERSON] (2009) [29], [PERSON] et al. (2013) [6], and [PERSON] et al. (2017) [25]. The results showed that the breadth search, the operation method, and the analysis results are better than the traditional ones. After an interview with the user, in their opinion, the advantage of this system is to find the link and idea for each tourist attraction, and to provide the users with new tourists. 5. According to the research by [PERSON] et al. (2019) [30], text corpus-based tourism helps to observe and realize changes in the tourism market. OTR in this study is viewed as a kind of text corpus based tourism, which of the direction is confirmed to be correct, because the study by [PERSON], et al. (2018) [31] has the same opinion. However, the source information between [PERSON], et al. (2018) and this study is different. [PERSON], el al. (2018) is mainly for the tourist packages; this study is for OTR. In terms of data analysis, OTR collate the travelers' negative and positive appraisals, but tourist packages are from the enterprise's perspective. Therefore, the OTR data is more objective than the tourist packages. Based on the proposed model and method in this study, the following future research directions are recommended:  
1. This study extracts tourist knowledge from OTR content, which is then used as the basis for developing a tourist attraction reasoning and tour planning method. Nevertheless, tourist attractions are not the only factor that travelers take into consideration when the tourists are planning their tour. They may also consider issues such as time, budget, age, and preferences. These factors can thus be included in future studies to provide better recommendations. 2. In order to produce a tourist knowledge structure that meets the need of travelers, an ontology adapting and management mechanism can be considered in future research, as this could help to better understand and maintain the tourist knowledge structure. In addition, OTR content from tourist experts can also be collected to construct another knowledge structure.