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Context modeling and processing in Location Based Services : research challenges and opportunities

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Abstract
To ensure good usability, Location Based Services (LBS) should be context-aware, i.e. adapting the information and services according to the context of their user, such as his/her location, tasks, preferences, and the underlying geo-social environment. This article reviews the main challenges related to the context modelling and processing in LBS, and proposes a list of essential research opportunities that can be pursued to overcome the challenges. These research challenges and opportunities are classified into four groups: 'modelling of the geo-social environment', 'modelling of the mobile user', 'context-aware adaptation', and 'ethical data modelling and processing'. Sufficiently addressing these issues will enable LBS to provide '5R', i.e. the 'right' information, in the 'right' way, at the 'right' time, in the 'right' place, to the 'right' person.
Keywords
Electrical and Electronic Engineering, Computer Networks and Communications, Signal Processing, Location based services, mobile data management, research agenda, context modelling, location privacy, RELEVANCE

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MLA
Huang, Haosheng, et al. “Context Modeling and Processing in Location Based Services : Research Challenges and Opportunities.” JOURNAL OF LOCATION BASED SERVICES, vol. 18, no. 4, 2024, pp. 381–407, doi:10.1080/17489725.2024.2306349.
APA
Huang, H., Cheng, Y., Dong, W., Gartner, G., Krisp, J. M., & Meng, L. (2024). Context modeling and processing in Location Based Services : research challenges and opportunities. JOURNAL OF LOCATION BASED SERVICES, 18(4), 381–407. https://doi.org/10.1080/17489725.2024.2306349
Chicago author-date
Huang, Haosheng, Yi Cheng, Weihua Dong, Georg Gartner, Jukka M. Krisp, and Liqiu Meng. 2024. “Context Modeling and Processing in Location Based Services : Research Challenges and Opportunities.” JOURNAL OF LOCATION BASED SERVICES 18 (4): 381–407. https://doi.org/10.1080/17489725.2024.2306349.
Chicago author-date (all authors)
Huang, Haosheng, Yi Cheng, Weihua Dong, Georg Gartner, Jukka M. Krisp, and Liqiu Meng. 2024. “Context Modeling and Processing in Location Based Services : Research Challenges and Opportunities.” JOURNAL OF LOCATION BASED SERVICES 18 (4): 381–407. doi:10.1080/17489725.2024.2306349.
Vancouver
1.
Huang H, Cheng Y, Dong W, Gartner G, Krisp JM, Meng L. Context modeling and processing in Location Based Services : research challenges and opportunities. JOURNAL OF LOCATION BASED SERVICES. 2024;18(4):381–407.
IEEE
[1]
H. Huang, Y. Cheng, W. Dong, G. Gartner, J. M. Krisp, and L. Meng, “Context modeling and processing in Location Based Services : research challenges and opportunities,” JOURNAL OF LOCATION BASED SERVICES, vol. 18, no. 4, pp. 381–407, 2024.
@article{01HPH6AKFWE2AZNB8NNS0FGQ34,
  abstract     = {{To ensure good usability, Location Based Services (LBS) should be context-aware, i.e. adapting the information and services according to the context of their user, such as his/her location, tasks, preferences, and the underlying geo-social environment. This article reviews the main challenges related to the context modelling and processing in LBS, and proposes a list of essential research opportunities that can be pursued to overcome the challenges. These research challenges and opportunities are classified into four groups: 'modelling of the geo-social environment', 'modelling of the mobile user', 'context-aware adaptation', and 'ethical data modelling and processing'. Sufficiently addressing these issues will enable LBS to provide '5R', i.e. the 'right' information, in the 'right' way, at the 'right' time, in the 'right' place, to the 'right' person.}},
  author       = {{Huang, Haosheng and Cheng, Yi and Dong, Weihua and Gartner, Georg and Krisp, Jukka M. and Meng, Liqiu}},
  issn         = {{1748-9725}},
  journal      = {{JOURNAL OF LOCATION BASED SERVICES}},
  keywords     = {{Electrical and Electronic Engineering,Computer Networks and Communications,Signal Processing,Location based services,mobile data management,research agenda,context modelling,location privacy,RELEVANCE}},
  language     = {{eng}},
  number       = {{4}},
  pages        = {{381--407}},
  title        = {{Context modeling and processing in Location Based Services : research challenges and opportunities}},
  url          = {{http://doi.org/10.1080/17489725.2024.2306349}},
  volume       = {{18}},
  year         = {{2024}},
}

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