Intelligent Petrol Station Recommender Based on Context Ontology and Rule Inference

Hui Zuo; Dan Xiang Ai; Jun Yang

doi:10.4028/www.scientific.net/AMM.303-306.1412

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 303-306Intelligent Petrol Station Recommender Based on...

Intelligent Petrol Station Recommender Based on Context Ontology and Rule Inference

Abstract:

An intelligent mobile petrol station recommender system based on context ontology and rule inference is deigned. The approach of context ontology modeling specific for mobile recommendation is discussed. And a two-level context ontology model including upper ontology and domain ontology used in petrol station recommender is developed. The generation of recommendation rules based on the context ontologies and the process of the rule inference for recommendation are also demonstrated.

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Periodical:

Applied Mechanics and Materials (Volumes 303-306)

Pages:

1412-1415

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.303-306.1412

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Online since:

February 2013

Authors:

Hui Zuo, Dan Xiang Ai, Jun Yang

Keywords:

Context Aware, Context Ontology, Petrol Station, Recommender System, Rule Inference

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