Wellness Concepts Model Use and Effectiveness in Intelligent Knowledge Authoring Environment

摘要

Intelligent recommendation systems have high impact on users to adopt healthy routines towards the optimal health and wellbeing. The wellbeing recommendation and decision support systems need up-to-date wellness knowledge for effective recommendations to the users. Lack of evolutionary knowledge base is the most prominent barrier in the effectiveness of wellness recommendation system and its applications for assisting in healthier life choices. Domain experts can transform their knowledge into the evolutionary knowledge base of intelligent recommendation system, when they have access to an intelligent and supportive knowledge authoring environment. We have proposed a system that provides an intelligent and supportive knowledge authoring environment with the help of scalable wellness concepts model (WCM). WCM helps in contextual selection of concepts and their values set using Intelli-sense approach during the rule creation. The use of WCM, in knowledge authoring environment, enhances experts' performance and decreases the chance of errors in wellness knowledge creation. It maximizes the concepts recall ratio of domain experts and provides guidance to some extent during rule creation process. We evaluated our system using user-centric evaluation by 6 domain experts. Each domain expert created 5 rules, containing 2 simple and 3 complex using the proposed system. The results suggested that the proposed system has user-satisfaction level up to 80.42 %.