Linking SpatialData to Information Systems for Visualisation
Thanh Thoa Pham Thi, Linh TruongHong, Junjun Yin, James Carswell
Digital Media Centre, Dublin Institute of Technology
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Traditional enterprise information systems produce, deploy and display business data separately from spatial data even though in most cases they are implicitly or explicitly related to each other, such as regional product manufacturing, building energy consumption, room schedules, etc. Linking spatial data and business data provides benefits twofold, firstly it can improve business data visualisation, secondly it can provide business semantics to spatial data. In addition, from the Internet of Things perspective, in which location based services are one of the core features, linking spatial data to business data enables more intelligent utilities for recommending personalised services on web and wireless devices. This paper presents a novel approach for location based querying (searching) in web and wireless environments, in which non‐spatial business data is dynamically linked to spatial (map) data to provide users with a more complete “picture” of reality at specific locations. Such an approach demands detailed modelling of 3D cityscape geometries (e.g. buildings), dynamically linked to non‐spatial business data to provide locationally relevant and task specific search results to citizens. Our approach is illustrated with a case study of an eCampus application for the National University of Ireland in Maynooth (NUIM), where university specific business data is extracted from existing NIUM information systems by developed web services and displayed on a 2D/3D map at relevant locations. This work can be considered as a platform for developers and researchers when developing similar applications in other real‐world domains.