A multimodal restaurant finder for semantic web

He, Yulan; Quan, Thanh Tho and Hui, Siu Cheung (2007). A multimodal restaurant finder for semantic web. In: 4th International Conference on Computing and Telecommunication Technologies (RIVF 2006), 12-16 Feb 2006, Ho Chi Minh city, Vietnam.


Multimodal dialogue systems provide multiple modalities in the form of speech, mouse clicking, drawing or touch that can enhance human-computer interaction. However, one of the drawbacks of the existing multimodal systems is that they are highly domain-specific and they do not allow information to be shared across different providers. In this paper, we propose a semantic multimodal system, called Semantic Restaurant Finder, for the Semantic Web in which the restaurant information in different city/country/language are constructed as ontologies to allow the information to be sharable. From the Semantic Restaurant Finder, users can make use of the semantic restaurant knowledge distributed from different locations on the Internet to find the desired restaurants.

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