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

作者：

Highlights：

• Novel information retrieval system for personalized itinerary search in urban freight transport.

• Integration of CBR, Choquet integral and ontology for personalized retrieval mechanism.

• User-oriented ontologies to extract knowledge from the overwhelming urban traffic information.

• Introduction of a new similarity measures method in the retrieval step of the CBR.

• Considers textual and numerical features for improved quality of information retrieval.

摘要

•Novel information retrieval system for personalized itinerary search in urban freight transport.•Integration of CBR, Choquet integral and ontology for personalized retrieval mechanism.•User-oriented ontologies to extract knowledge from the overwhelming urban traffic information.•Introduction of a new similarity measures method in the retrieval step of the CBR.•Considers textual and numerical features for improved quality of information retrieval.

论文关键词：Multi-criteria decision support,Information retrieval,Personalization,Itinerary search,Urban freight transport

论文评审过程：Available online 20 December 2014.

论文官网地址：https://doi.org/10.1016/j.eswa.2014.12.012