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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