Geosemantic information retrieval and its performance evaluation

Information-retrieval services can provide users with personalized services about various information that they want on their current location using a variety of mobile devices. The screens of mobile devices are smaller than those of desktop computers. To provide accurate search results that are appropriate for the small screens of mobile devices, we propose a geosemantic information-retrieval method for the mobile environment to provide specific information appropriate for a given user's requirements by combining context and ontology. To evaluate the performance of the system, we performed experiments to analyse the run time, memory usage, frequency of items and accuracy of the ontology database, and compared it with an existing relational database. The ontology database provided better retrieval than the relational database in terms of accuracy of the data and computational expense.