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

作者：Haosheng Huang, Cheng Yi, Weihua Dong, Georg Gärtner, Jukka M. Krisp, Liqiu Meng · 发表于：Journal of Location Based Services · 年份：2024 · DOI：10.1080/17489725.2024.2306349 · 被引用次数：17 · 研究领域：Context-Aware Activity Recognition Systems、Human Mobility and Location-Based Analysis、Mobile Crowdsensing and Crowdsourcing

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.