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Design of Compound Knowledge Repository for Recommendation System

추천시스템을 위한 복합지식저장소 설계

  • 한정수 (백석대학교 정보통신학부) ;
  • 김귀정 (건양대학교 의공학부)
  • Received : 2012.09.15
  • Accepted : 2012.12.20
  • Published : 2012.12.31

Abstract

The article herein suggested a compound repository and a descriptive method to develop a compound knowledge process. A data target saved in a compound knowledge repository suggested in this article includes all compound knowledge meta data and digital resources, which can be divided into the three following factors according to the purpose: user roles, functional elements, and service ranges. The three factors are basic components to describe abstract models of repository. In this article, meta data of compound knowledge are defined by being classified into the two factors. A component stands for the property about a main agent, activity unit or resource that use and create knowledge, and a context presents the context in which knowledge object are included. An agent of the compound knowledge process performs classification, registration, and pattern information management of composite knowledge, and serves as data flow and processing between compound knowledge repository and user. The agent of the compound knowledge process consists of the following functions: warning to inform data search and extraction, data collection and output for data exchange in an distributed environment, storage and registration for data, request and transmission to call for physical material wanted after search of meta data. In this article, the construction of a compound knowledge repository for recommendation system to be developed can serve a role to enhance learning productivity through real-time visualization of timely knowledge by presenting well-put various contents to users in the field of industry to occur work and learning at the same time.

Keywords

Compound Knowledge Repository;Recommendation System;Metadata

Acknowledgement

Supported by : 한국연구재단