Linking SpatialData to Information Systems for Visualisation

Thanh Thoa Pham Thi, Linh TruongHong, Junjun Yin, James Carswell

Digital Media Centre, Dublin Institute of Technology |

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.

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