Knowledge Based New POI Recommendation Method in LBS Using Geo-Ontology and Multi-Criteria Decision Analysis

  • Joo, Yong-Jin (Integrated Urban Research Center, Institute of Urban Sciences, University of Seoul)
  • Received : 2011.01.25
  • Accepted : 2011.02.22
  • Published : 2011.03.31

Abstract

LBS services is a user-centric location based information service, where its importance has been discussed as an essential engine in an Ubiquitous Age. We aimed to develop an ontology reasoning system that enables users to derive recommended results suitable through selection standard reasoning according to various users' preferences. In order to achieve this goal, we designed the Geo-ontology system which enabled the construction of personal characteristics of users, knowledge on personal preference and knowledge on spatial and geographical preference. We also integrated a function of reasoning relevant information through the construction of Cost Value ontology using multi-criteria decision making by giving weight according to users' preference.

위치 기반 서비스는 사용자 중심의 위치를 기반으로 한 정보 서비스이며 유비쿼터스 시대에 있어서 핵심적인 엔진으로서 논의되어져오고 있다. 본 연구의 목적은 다중 의사 결정 기법을 통해 이동 단말 사용자의 위치 정보와 공간적 선호도를 반영한 새로운 온톨로지 추론 시스템을 개발하는 것이다. 이를 위해 POI 검색을 위한 온톨로지 기반의 LBS 추론시스템을 개발하고 사용자의 상황인식정보와 개인적 특성 및 공간선호도에 따른 온톨로지로 구축을 하여 그 구현 결과를 보였다. 또한 사용자의 의사결정시 결정기준요소에 가중치 부여를 위한 Cost Value Ontology를 구축하여, 다 기준 의사추론을 통해 사용자에게 적절한 추천 결과가 도출되는 위치 기반 서비스 방법을 제안하였다.

Keywords

References

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