Semantic knowledge facilities for a web-based recipe database system supporting personalization

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

1 Scopus Citations
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Detail(s)

Original languageEnglish
Pages (from-to)753-782
Journal / PublicationConcurrency Computation Practice and Experience
Volume20
Issue number7
Publication statusPublished - May 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.

Research Area(s)

  • Constraint and rule, Cooking graph, Knowledge base, Personalization, Recipe, Semantic modeling, User profiling