Indoor Spatial Awareness (ISA) Project

Indoor Spatial Awareness (ISA) is a multi-national R&D project whose vision is to provide a basis for Indoor Spatial Theory and Systems to meet the growing need for indoor spatial awareness in hospitals, convention centers, and other ubiquitous computing environments. The goal is to develop a computing technology to:

  • Establish a basis for indoor spatial theory and data modeling
  • Develop systems for building and managing indoor spatial databases
  • Prepare a test bed for ISA project and develop pilot application systems
We are developoing an Indoor Spatial Theory as part of the Data Management and Modeling team. Other team members include Dr. Lee (UOS) and Dr. Kolbe (TU Berlin), who is working on an indoor extension to his cityGML.

Indoor Spatial Theory

Principle Investigator Dr. Mike Worboys.

We are developing a fundamental theory of indoor space concerning the nature and behavior of (mobile and stationary) indoor spatial objects as part of the Data Modeling and Management team for the the Indoor Spatial Awareness (ISA) project. Our theory will describe the nature and behavior of indoor spatial objects and the space they inhabit and will

  • Support quantitative representations (eg.(x,y,z) coordinates or dimensions) of spatial objects
  • Support qualitative representations (eg. in a point-set topology) of spatial objects
  • Support reasoning about spatial object types (eg. locations) and relations between objects
  • Support reasoning about the behavior of objects in indoor space (eg. moving objects)

Our theory will be captured in the following models:

  • Indoor Spatial Ontology describing spatial objects and spaces with their quantitative and qualitative properties and relations captured in the web ontology language OWL
  • Indoor Spatial Bigraph Model that supports visualizing and reasoning about mobile locality and connectivity
See also the project scope and tasks and our technical results and publications for further details.

Project Overview

Project Results

Project Staff

  • Dr. Michael Worboys (PI) University of Maine, USA
  • Dr. Matt Duckham (collaborator) University of Melbourne, AU
  • Lisa Walton (Graduate Research Assistant), University of Maine, USA
  • Ruth Worboys (Student Research Assistant), University of Maine, USA

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