Ontology-Based Context Modeling for Mobile Catering Recommendation

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Abstract:

To support context-aware mobile recommendation, an ontology-based context modeling approach was proposed. We analyzed the framework of the mobile recommender system based on contextual model and suggested designing the model with two-layer structure including an upper ontology layer and a domain ontology layer. The ontologies provides formalizations representing the main entities, including users, objects, contexts, and their interactive relationships in mobile recommendation environments. A specific context ontology model for catering recommendation was developed and a use case of the instantiated context ontology was demonstrated.

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953-956

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] G. Adomavicius and A. Tuzhilin: IEEE Transactions on Knowledge and Data Engineering. Vol. 17 (2005), p.734.

Google Scholar

[2] D. Anand and K.K. Bharadwaj: Expert Systems with Applications. Vol. 38(2011), p.5101.

Google Scholar

[3] S. Russell and V. Yoon: Expert Systems with Applications. Vol. 34(2008), p.2316.

Google Scholar

[4] M. Khedr and A. Karmouch: IEEE Intelligent Systems. Vol. 19(2004), p.21.

Google Scholar

[5] X.H. WANG, D.Q. ZHANG, T. GU, and H.K. PUNG, in: Workshop Proceedings of the 2nd IEEE Conference on Pervasive Computing and Communications (2004), p.18.

Google Scholar

[6] Th. Strang and C. Linnhoff-Popien, in: Workshop Proceedings of the 1st International Workshop on Advanced Context Modelling, Reasoning And Management at UbiComp(2004), p.34.

Google Scholar

[7] R. Studer, V.R. Benjamins, and D. Fensel: Data & Knowledge Engineering, Vol. 25(1998), p.161.

Google Scholar

[8] R. Krummenacher, H. Lausen, T. Strang, and J. Kopeck´y, in: Workshop Proceedings of the 1st International Workshop on Context-Awareness for Self-Managing Systems (2007), p.11.

Google Scholar