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

Haosheng Huang, Yi Cheng, Weihua Dong, Georg Gartner, Jukka M. Krisp, Liqiu Meng

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish
Pages (from-to)381-407
Number of pages27
JournalJournal of Location Based Services
Volume18
Issue number4
DOIs
StatePublished - 2024

Keywords

  • Location based services
  • context modelling
  • location privacy
  • mobile data management
  • research agenda

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