Application Method of Task Ontology Technology for Recommendation of Automobile Parts

자동차부품 추천을 위한 태스크 온톨로지 기술의 적용방법

  • 김귀정 (건양대학교 의공학부) ;
  • 한정수 (백석대학교 정보통신학부)
  • Received : 2012.06.03
  • Accepted : 2012.07.21
  • Published : 2012.07.31


This research proposes the method to develop the recommendation system of automobile parts using task ontology technology. The proposed intelligent recommendation system is designed to learn the assembly process of automobile parts and the automobile parts are composed by ontology method for the recommendation of the parts. Using hierarchical taxonomy based on is-a relationship, the relationship between each part that makes up automotive engine was set. Each part has each different weighted value according to the knowledge of automobile experts. The weighted value is created by the number of selection that the users of the automobile recommendation system select while using the system and the final value calculated by the multiplication of the weighted value, which is recorded within the system. As a result, the users can easily identify which factor in which part is important by the output in the order of the priority. The intelligent recommendation system for automobile parts is a system to inform of the assembly, the usage and the importance of automobile parts without any specialized knowledge by expressing the parts that are closely related with the applicable parts when selecting any part on the basis of the generated data for the automobile parts that are difficult to access by users.


Task Ontology;Automobile Parts Recommendation System;hierarchical Taxonomy;Intelligent recommendation;priority


Supported by : 한국연구재단