An ontology-based CBR approach for personalized itinerary search systems for sustainable urban freight transport

Amna Bouhana (1) , Amir Zidi (2) , Afef Fekih (3) , Habib Chabchoub (1) , Mourad Abed (2)

1 Université de Sfax - University of Sfax
2 LAMIH - Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201
3 University of Louisiana at Lafayette

This paper presents a novel information retrieval approach for personalized itinerary search in urbanfreight transport systems. The proposed approach is based on the integration of three techniques: CaseBase Reasoning, Choquet integral and ontology. It has the following advanced features: (1) user-orientedontology is used as source of knowledge to extract pertinent information about stakeholder’s preferencesand needs; (2) semantic web rule language is considered to provide the system with enhanced semanticcapabilities and support personalized case representation; (3) a CBR-personalized retrieval mechanism isdesigned to provide a user with an optimum itinerary that meets his personal needs and preferences. Theabove features lead to a personalized and optimum itinerary search that meets the user’s needs as spec-ified in their queries such as fuel consumption, environmental impact, optimum route, time managementetc. This has the potential to effectively manage fright movement according to stakeholder’s needsand alleviate congestion problems in urban areas. The proposed intelligent decision support system(Onto-CBR) is implemented to an itinerary search problem for freight transportation users in urban areas.Its performance is further compared to an itineraries search system that was proposed by the authors inan earlier publication. Both approaches are compared in terms of their ability to meet user’s personalpreferences and achieve accuracy in case retrieval. The experimental results showed the ability ofthe proposed system to improve the accuracy of case retrieval and reduce retrieval time prominently.The ability of the proposed system tailor the search to stakeholders needs, improve the accuracy of caseretrieval and facilitate the search process are among the main positive features of the proposed intelli-gent decision support system

Mots clés: "Multi-criteria decision support"; "Information retrieval"; "PersonalizationItinerary search"; "Urban freight transport"

Domaines: Informatique [cs]

Amna Bouhana, Amir Zidi, Afef Fekih, Habib Chabchoub, Mourad Abed. An ontology-based CBR approach for personalized itinerary search systems for sustainable urban freight transport. Expert Systems with Applications, 2015, 42 (7), pp.3724-3741. ⟨10.1016/j.eswa.2014.12.012⟩. ⟨hal-03401486⟩