An Ontology Driven Framework for Personalized Itinerary Visualization

Abstract

Retrieving information based on the users’ preferences and profiles represent a challenging issue to overcome. Moreover, in the public transport field, this task becomes increasingly complex due to the heterogeneous data fetched from various sources. Though, ontologies have emerged in retrieving information field to reduce this complexity. This paper describes a visual framework aiming to search and extract the suitable itinerary that fits better with the user’s information needs and based on the ontologies. The framework relies on three main components: a simple search component, an advanced search based on users’ preferences and profile component and a Question-Answering search component represented in a natural language. Our framework has been implemented and evaluated.