Ontology Day (with visitors from Toronto), October 24, 2022
The goal of this set of meetings is:
- 1. to identify ways in which we and our Toronto ontologist colleagues can learn from each other
- 2. to explore potential avenues of collaboration. The outline program below is still in draft form.
A news item pertaining to this first meeting in the series can be found here.
10:00 - 11:30: Morning session in the Department of Biomedical Informatics (DBMI), 77 Goodell Street, Buffalo, NY 14203 (= Downtown Buffalo). Driving and parking directions
- 10:00 Peter Elkin, Chair, Department of Biomedical Informatics: Welcome
- 10:20 Mark Fox: Toronto approaches
- 10:40 Discussion
- 11:00 Short talks on UB biomedical ontology projects:
- 11:30 Close of morning session
12:15-1:00 Lunch session (bring your own food) in 141 Park Hall on the North Campus. This is for informal exchanges of ideas, including discussions of future possibilities of collaboration.
1:00 - 3:30: Formal session in 141 Park Hall, UB North Campus
- 1:00 Li Yin: UB work on Smart Cities
- 1:25 Mark Fox: City Data Standards (ISO-5087, ISO-21972)
- 1:50 Barry Smith: A BFO-based approach to services, defined in terms of (1) the creation of patterns, and (2) repair, restoration and disposal of patterned entities
- 2:00 Bart Gajderowicz: The Toronto approach to services, defined in
- Common Impact Data Standard Part 1: Services
- Common Impact Data Standard Part 2: Client and community characteristics, interoperable service coding scheme, service-related taxonomies
- 2:20 Daniela Rosu
- Common Impact Data Standard Part 3:Client and community needs, need satisfiers, matching services and clients
- 2:40 Megan Katsumi: Asset management: modelling of physical systems, data records, and manifestations
- 3:00 Closing discussion
Ontology group biosketches
Toronto group biosketches
Professor Mark S. Fox
Mark S. Fox is the Distinguished Professor of Urban Systems Engineering at the University of Toronto. He is a Professor of Industrial Engineering and Computer Science, Director of the Urban Data Centre in the University of Toronto’s School of Cities, founding director of the Centre for Social Services Engineering, and head of the Enterprise Integration Laboratory. He is a Fellow of the Association for the Advancement of Artificial Intelligence and the Institute for Electrical and Electronic Engineering. He is the editor of the ISO/IEC 5087 series of city data model standards and an author of the Common Impact Data Standard.
Dr Bart Gajderowicz
Bart Gajderowicz completed his PhD at the University of Toronto, where he was the Social Service Simulation project director at the Centre for Social Services Engineering research group. His work focused on developing the Ontology for Social Service Needs (OSSN), and the simulation of service usage and client needs in the "Housing First" intervention program. His current work focuses on the development and adoption of the Common Impact Data Standard (CIDS) for measuring the impact of smart city services. This work incorporates the development of service-focused ontologies, data standards, AI language models, and knowledge extraction methods.
Dr Megan Katsumi
Megan Katsumi received her PhD from the University of Toronto, where her research at the Semantic Technologies Laboratory focused on foundations for ontology development. Megan completed a postdoctoral fellowship with the University of Toronto Transportation Research Institute (UTTRI) where she contributed to the development of a suite of ontologies for transportation planning to support the iCity-ORF project. Her current research activities are focused on the use of ontologies in asset management and the development of ontology-based standards.
Dr Daniela Rosu
Daniela Rosu received her PhD in Computer Science from the University of Toronto, where her research at the IBM Life Sciences Discovery Center focused on biomedical ontologies. As a postdoctoral fellow, she continued working on ontologies for healthcare and developed a formal scheme for representing clinical practice guidelines and supporting matching patients to medical procedures. She continues her work on decision support systems at the Centre for Social Services Engineering, where her research focuses on modelling and predicting needs, formalizing and analyzing services and matching them to needs, as well as data-driven inference of insights to inform the optimization of processes, policies and services at agency and community level.