Linked Data can perform expressive query capabilities over the aggregated Web of data, similarly to how a relational database is queried. Smartphone’ multimedia, sensing, and communication capabilities provide the best environment in which to create easily new and superior mashup content combined with Linked Data. This paper describes a novel geospatial semantic mobile mashup system based on Google Map and Location APIs. It provides mashups of Google Map and DBpedia based on users’ current location, display surrounding DBpedia objects, and links to search for additional semantic information. DBpedia is emerging as the core of LOD (Linked Open Data), which is gathering information based on Wikipedia and using it to develop the large scale Big Data. Developed semantic mobile mashups are able to find the desired place of your current location through GPS, and access the semantic information easily in the self-developed Linked Data browser.
목차
Abstract Ⅰ. Introduction Ⅱ. Related Research Ⅲ. Architecture of Geospatial Semantic mobile mashup 3.1 Geospatial Mobile Mashup 3.2 Geospatial Mashups 3.3 Architecture of Geospatial Mobile Mashup System Ⅳ. Creating Linked Data and System Implementation 5.1 Methods for Creating Linked Data 5.2 Implementation of Mobile Mashup System Ⅴ. Conclusion Acknowledgment Bibliography
키워드
Linked DataMobile mashupSemantic webGeosparialGoogle mapLocation service
한국AI디지털융합학회(구 한국디지털융합학회) [The Korean Academic Society of AI Digital Convergence]
설립연도
2015
분야
사회과학>경영학
소개
본 학회는 디지털 경영에 관련된 디지털 미디어, 디지털 통신, 디지털 방송, 디지털 콘텐츠, 디지털 문화, 디지털 사회, 디지털 유통, 디지털 금융, 디지털 물류, 디지털 정책, 디지털 기술, 디지털 교육 그리고 디지털과 아날로그의 비교 등에 대한 학제간 연구와 실사구시적인 적용을 통하여 디지털 경영의 발전과 한국이 세계적인 디지털 강국으로 성장하기 위한 학술적인 기반과 실무적인 지침을 조성하는 것을 목적으로 하고 있습니다.