earticle

논문검색

연구논문

Geospatial Semantic Mobile Mashup Based on GoogleMAP and Location APIs

원문정보

Duan, Hongzhou, Lee, Yongju

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

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

저자정보

  • Duan, Hongzhou 경북대학교 IT대학 컴퓨터학부 대학원
  • Lee, Yongju 경북대학교 IT대학 컴퓨터학부 교수

참고문헌

자료제공 : 네이버학술정보

    함께 이용한 논문

      ※ 기관로그인 시 무료 이용이 가능합니다.

      • 4,000원

      0개의 논문이 장바구니에 담겼습니다.