Semantic Knowledge Facilities for a Web-based Recipe Database System Supporting Personalization

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The recent explosive proliferation of interesting and useful data over the Web such as various recipes, while providing people with readily available information, brings out a challenging issue on how to manage such non-conventional data effectively. To respond to the challenge, we have been developing a Web-based recipe database system called Dish_Master to manage recipes in a novel way, which not only covers the static recipe attributes but also elucidates the dynamic cooking behaviors. In this paper, we present several semantic knowledge facilities devised in Dish_Master, including a set of semantic modeling and knowledge constructs to effectively represent recipe data, rules and constraints, and user profile aspects. With such a rich set of semantic knowledge facilities, Dish_Master lays down a solid foundation of providing users with personalized services such as adaptation and recommendation. Users can benefit from the system's real-time consultation and automatic summarization of cuisine knowledge. The usefulness and elegance of Dish_Master are demonstrated through an experimental prototype system. Copyright © 2007 John Wiley & Sons, Ltd.


This paper was presented at the Second International Conference on Semantics, Knowledge and Grid (SKG2006), October, 2011 in Guilin, China.



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