Earticle

초록

영어

With advances in Location-Based Services(LBSs), the motivation for indoor LBSs is becoming stronger since the complexity of indoor spaces. Semantic location model is becoming a pervasive data model to face with this challenge. The hybrid semantic methods and theories are used into this model to define and manage semantic information and location information. In this paper, we analyze some semantic location models based on math and ontology methods including brief description and comparison. We also extract the characteristics of semantic information in the multilayered location model and depict their significances for indoor space LBSs. Finally, we discuss the possible directions of semantic location models for indoor space LBSs.

목차

Abstract
 1. Introduction
 2. Semantic Information of Location Models
 3. Semantic Location Models based on Mathematic Methods
  3.1. Related Mathematic Methods for Semantic Location Model
  3.2. Evaluation of Mathematic-based Semantic Location Model
 4. Semantic Location Model based on Ontology
  4.1. Ontology Function Analysis in Semantic Location Model
  4.2. Evaluation of Ontology-based Semantic Location Model
 5. The Multilayered Semantic Location Model
  5.1. Structure of the Multilayered Location Model
  5.2. Semantic Information in the Multilayered Location Model
  5.3. Evaluation of the Multilayered Semantic Location Model
 6. Conclusion
 Acknowledgements
 References

키워드

저자

• Xin Wang [ Faculty of Information Engineering, China University of Geosciences, Wuhan 430074 China ]
• Jianga Shang [ Faculty of Information Engineering, China University of Geosciences, Wuhan 430074 China ]
• Fangwen Yu [ Faculty of Information Engineering, China University of Geosciences, Wuhan 430074 China ]
• Jinjin Yan [ Faculty of Information Engineering, China University of Geosciences, Wuhan 430074 China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605