Abstract
In this paper, an ontology-based car purchase guiding system, ONCAPS, is presented. The system integrates Semantic Web technologies to provide car information to people who want to buy cars. It employs ontology-based data integration technology to gather data from multiple car selling websites in China. It captures personalized weights on car features by an analytic hierarchy process based approach. It computes the personalized distance between a car and a given requirement by a weighted sum model where ontology reasoning is involved. For purchase guiding, ONCAPS suggests the user all cars that have the minimum personalized distance to the given requirement. The suggestions are shown with explanations on why these cars are recommended.
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© 2015 Springer International Publishing Switzerland
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Du, J., Zhao, J., Cheng, J., Su, Q., Liang, J. (2015). ONCAPS: An Ontology-Based Car Purchase Guiding System. In: Cheng, R., Cui, B., Zhang, Z., Cai, R., Xu, J. (eds) Web Technologies and Applications. APWeb 2015. Lecture Notes in Computer Science(), vol 9313. Springer, Cham. https://doi.org/10.1007/978-3-319-25255-1_72
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DOI: https://doi.org/10.1007/978-3-319-25255-1_72
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