=Paper=
{{Paper
|id=Vol-1630/keynote1
|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-1630/keynote1.pdf
|volume=Vol-1630
|dblpUrl=https://dblp.org/rec/conf/semweb/Fox15
}}
==None==
<pdf width="1500px">https://ceur-ws.org/Vol-1630/keynote1.pdf</pdf>
<pre>
The PolisGnosis Project: Enabling the Computational Analysis of City
Performance
Prof. Mark S. Fox, Professor of Industrial Engineering and Computer Science
Director, Centre for Social Services Engineering
Senior Fellow, Global Cities Institute
University of Toronto


Abstract: Cities use a variety of metrics to evaluate and compare their performance. With
the introduction of ISO 37120, which contains 100 indicators for measuring a cityís quality of
life and sustainability, it is now possible to consistently measure and compare cities,
assuming they adhere to the standard. The goal of this research is to develop theories,
embodied in software, to perform longitudinal analysis (i.e., how and why a cityís indicators
change over time) and transversal analysis (i.e., how and why cities differ from each other),
in order to discover the root causes of differences. The first phase of this project focuses on
the creation of standard representations of city knowledge (i.e., Vocabularies and Ontologies)
that can be used to represent indicators and their supporting data and publish them on the
Semantic Web. The second phase focuses on the development of consistency axioms that
automate the determination of whether a city's indicators and supporting data are consistent
with the ISO 37120 definitions, and whether they are longitudinally and transversally
consistent. The third phase focuses on the development of diagnostic algorithms that identify
the root causes of longitudinal and transversal differences. Due to the heterogeneity of the
supporting data, the applicability of classical diagnostic techniques is limited. This seminar
will summarize the progress to date of all three phases.

</pre>