Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
1.2 COMPUTER AND INFORMATION SCIENCE
Location based querying is the core interaction paradigm between mobile citizens and the Internet of Things, so providing users with intelligent web-services that interact efficiently with web and wireless devices to recommend personalised services is a key goal. With today's popular Web Map Services, users can ask for general information at a specific location, but not detailed information such as related functionality or environments. This shortcoming comes from a lack of connection between non-spatial “business” data and spatial “map” data. This chapter presents a novel approach for location-based querying in web and wireless environments, in which non-spatial business data is dynamically connected to spatial base-map data to provide users with spatially-enabled attribute information at particular locations. The proposed approach is illustrated in a case study at the National University of Ireland in Maynooth (NUIM), where detailed 3D campus building models were constructed. Non-spatial university specific business data such as the functionalities and timetables of class rooms/buildings, campus news, noise levels, and navigation are then explored over the web and presented as both mobile and desktop web-services.
Thi, Thanh Thoa Pham, Andrea Ballatore, Junjun Yin, Linh Truong-Hong and James D. Carswell. "A Case Study for eCampus Spatial: Business Data Exploration." Handbook of Research on Geospatial Science and Technologies. IGI Global, 2018. 240-270. doi:10.4018/978-1-5225-3440-2.ch016