Abstract
Abstract 논문투고일：2011년 10월 21일 논문수정완료일：2011년 12월 01일 논문게재확정일：2011년 12월 06일*이 논문은 2011학년도 경성대학교 학술연구비지원에 의하여 연구되었음.** 경성대학교 컴퓨터학부 조교수Mobile Augmented Reality (mobile AR), as one of the most prospe ctive mobile applications, intends to provide richer experiences by annotating tags or virtual objects over the scen e observed through camera embedded in a handheld device like smartphone or pad. In this paper, we analyzed the c urrent status of the art of mobile AR and proposed a novel Points of Interest (POIs) data model based on ontology to provide context-aware information retrievals on lots of POIs data. Proposed ontology was expanded from the stan dard POIs data model of W3C POIs Working Group and established using OWL (Web Ontology Language) and Protege. We also proposed a context-aware mobile AR platform which can resolve three distinguished issues in curren t platforms：interoperability problem of POI tags, POIs data retrieval issue, and context-aware service issue. Keyword：Mobile Augmented Reality, Points of Interest(POI), Context Awar eness, Ontology
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