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Location-dependent queries of geospatial data are indispensable for users in today's era of "Smart" environments. At general scales, Google Maps and Google Earth with satellite and street views have provided some utilities for users to query specific locations. However, at local scales, where detailed 3D geometries and linked business data are needed, there is a general lack of related information for in depth exploration of an area. For instance, the following kinds of questions cannot be answered when interacting with Google Maps/Earth on a typical university campus: what classes are scheduled in that room over there? Whose office window is that up there? What buildings/objects can I actually see around me while standing at a specific location on campus? Or in a hospital, by spatial querying hospital datasets we can ask what the surgery schedule is in that operating room? What medical equipment is installed in that room? How far is it to move from this room to another?
Linking spatial data and business data helps to enrich the user experience by fulfilling more user needs, in particular for applications that need to explore detailed local scale data such as in a Zoo, Museum, Hospital, Campus, Business Park, etc. There are normally two types of users for such applications: public users (e.g. visitors to an area) and local users (e.g. staff and students). Access privileges and query levels depend on the user type.
Carswell, J. et al. (2012) A Service Oriented Architecture for Spatial and Business Data Applications: an eCampus Case Study, 2012, 2nd International Conference on Applied and Theoretical Information Systems Research Taiwan, 27th- 29th December.
Strategic Research Cluster Grant (07/SRC/I1168) by Science Foundation Ireland