Semantic Knowledge Facilities for a Web-based Recipe Database System Supporting Personalization
Document Type
Article
Publication Date
5-2008
Abstract
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.
Repository Citation
Wang, L.,
Li, Q.,
& Dong, G.
(2008). Semantic Knowledge Facilities for a Web-based Recipe Database System Supporting Personalization. Concurrency and Computation: Practice and Experience, 20 (7), 753-782.
https://corescholar.libraries.wright.edu/knoesis/134
DOI
10.1002/cpe.1275
Comments
This paper was presented at the Second International Conference on Semantics, Knowledge and Grid (SKG2006), October, 2011 in Guilin, China.