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A Case Study for eCampus Spatial: Business Data Exploration
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Author(s): Thanh Thoa Pham Thi (National University of Maynooth, Ireland), Andrea Ballatore (University of California – Santa Barbara, USA), Junjun Yin (Dublin Institute of Technology, Ireland), Linh Truong-Hong (University College Dublin, Ireland)and James D. Carswell (Dublin Institute of Technology, Ireland)
Copyright: 2019
Pages: 31
Source title:
Smart Cities and Smart Spaces: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Information Resources Management Association (USA)
DOI: 10.4018/978-1-5225-7030-1.ch037
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Abstract
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.
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