Semantic Web Dog Food

Presented at: 6th International and 2nd Asian Semantic Web Conference (ISWC2007+ASWC2007)

by Satoru Izumi, Naofumi Yasuda, Goichi Itabashi, Yasushi Kato, Kaoru Takahashi, Takuo Suganuma, Norio Shiratori

This paper presents a health advice derivation system. The system can derive adequate advices according to user's goal and the health condition of the user because an ontology is introduced into the system for describing the knowledge about exercise, meal and user's health condition. We introduce an inference mechanism into the system for deriving advices because the inference mechanism makes good use of the ontology. New relationships on the knowledge are found by the inference mechanism and are finally provided as advices to the user.

A Health Advice Derivation System based on an Ontology was presented at this event.

Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc-aswc/2007/tracks/posters-demos/papers/364
Same as: http://revyu.com/things/iswc-aswc-2007-posters-demos-paper-364-a-health

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