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

Expert Systems with Applications

Volumn 42, Issue 7, 2015, Pages 3724-3741

  Bouhana, Amna ^a   Zidi, Amir ^b   Fekih, Afef ^c   Chabchoub, Habib ^a   Abed, Mourad ^b  

^a UNIVERSITY OF SFAX   (Tunisia)

^b UNIVERSITÉ DE VALENCIENNES   (France)

^c University of Louisiana at Lafayette   (United States)

Author keywords

Information retrieval; Itinerary search; Multi criteria decision support; Personalization; Urban freight transport

Indexed keywords

ARTIFICIAL INTELLIGENCE; CASE BASED REASONING; DATA MINING; DECISION SUPPORT SYSTEMS; DESIGN; ENVIRONMENTAL IMPACT; INFORMATION RETRIEVAL; INTEGRAL EQUATIONS; SAFETY DEVICES; SEARCH ENGINES; SEMANTIC WEB; TRAFFIC CONGESTION; URBAN TRANSPORTATION;

CASE-BASE REASONINGS; INTELLIGENT DECISION SUPPORT SYSTEMS; ITINERARY SEARCH; MULTICRITERIA DECISION SUPPORT; PERSONALIZATIONS; PERSONALIZED RETRIEVAL; SEMANTIC WEB RULE LANGUAGE (SWRL); URBAN FREIGHT TRANSPORT;

FREIGHT TRANSPORTATION;

EID: 84922725586     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2014.12.012     Document Type: Article

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