Households, The Homeless and Slums Towards a Standard for Representing City Shelter Open Data
Wang, Yetian (University of Toronto) | Fox, Mark S. (University of Toronto)
In order to compare and analyse open data across cities, standard representations or ontologies have to be created. This paper defines a shelter ontology that includes concepts of shelters, slums, households and homelessness. The design of the ontology is based upon the data requirements of ISO 37120. ISO 37120 defines 100 indicators to measure and compare city performance. There are three shelter-themed indicators defined, namely 15.1 Percentage of city population living in slums, 15.2 Number of homeless per 100 000 population, and 15.3 Percentage of households that exist without registered legal titles. This ontology enables both the representation of the ISO 37120 Shelter theme indicators' definitions, and a city's indicator values and supporting data. This enables the analysis of city indicators by intelligent agents.
Feb-4-2017
- Country:
- Africa > Kenya (0.28)
- North America
- Canada > Ontario
- Toronto (0.16)
- United States (0.28)
- Canada > Ontario
- Industry:
- Social Sector (0.46)
- Technology: