A conceptual framework for personalized location-based Services (LBS) tourism mobile application leveraging semantic web to enhance tourism experience

Mobile location-based tourism applications provide guidance to the tourist on the move based on their preferences and context such as time and location. These applications depend heavily on the GPS which is used to determine the user location so as to deliver information that takes into account user preferences and context. However, the delivery of information that is relevant to the user in terms of their preferences and their contextual condition seem to be lacking in most of the applications. Semantic web technologies provide an opportunity to develop more intelligent location-based applications that would enable the delivery of information that is more accurate and relevant to the user. Thus, the objectives are; (1) to identify the benefits of leveraging semantic web technologies on the framework (2) to identify the techniques used to provide personalized activities recommendations based on the user preferences. (3) to identify the methods used to build user profile that contains user preferences. (4) to identify the key location-based component that needs to be integrated in the framework. A conceptual framework for personalized mobile location-based tourism apps leveraging semantic web to enhance tourism experience is proposed.