EIL Theory
EIL Applications
Others
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Overview
Director: Professor Mark S. Fox
For the past twenty years, the Enterprise Integration Laboratory has investigated the use of Information Technology to create a business infrastructure enabling the dissemination
of information, coordination of decisions, and management of actions to and among people and systems within the organization and outside of it.
EIL research explores the
creation of Enterprise Integration concepts in a bi-directional manner, in that it is
simultaneously theory and application driven; an underlying philosophy to this research is
that solving real problems leads to breakthrough research. Our basic research has explored topics such as: Ontologies for Enterprise Modelling, Agent Architectures and Coorindation and Constraint-Directed Scheduling, and applied them to problems such as Supply Chain Management, Knowledge-Based Design and Enterprise Engineering.
Our current research focuses on Smart Cities with an emphasis on:
- Ontologies for the modelling and analysis of cities.
- Ontologies for Global City Indicators.
- Ontologies for the representation of 311 city knowledge.
- Reasoning architectures for the causal analysis of crowdsourced data.
- Incorporating the crowd in government decisions.
For information and papers on each of these topics, select the appropriate topics on the side bar.
Please go to http://ontology.eil.utoronto.ca to access our publicly available ontologies.
Latest Publications:
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Razavi, Y., Ho, Bernard, and Fox, M.S., (2012), "Gamifying E-Commerce: Gaming and Social-Networking Induced Loyalty",
The European Business Review, September/October.
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Fazel-Zarandi, M., Fox, M.S., (2012), "An Ontology for Skills and Competency Management." Proceedings of the
7th International Conference on Formal Ontologies in Information Systems (FOIS 2012), Graz, Austria.
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Fazel-Zarandi, M.; Fox, M.S.; Yu, E. (2012). "Ontologies in Expertise Finding Systems: Modeling, Analysis, and
Design." To appear in Ontology-Based Applications for Enterprise Systems and Knowledge Management, IGI Publishing.
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Fazel-Zarandi, M.; Devlin, H.J.; Huang, Y.; Contractor, N. (2011). "Expert Recommendation based on Social Drivers,
Social Network Analysis, and Semantic Data Representation." In Proceedings of the 2nd International Workshop on Information
Heterogeneity and Fusion in Recommender Systems (HetRec 2011), ACM, Chicago, USA.
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Fazel-Zarandi, M.; Fox, M.S. (2011). "Constructing Expert Profiles over Time for Skills Management and Expert Finding."
In Proceedings of the 11th International Conference on Knowledge Management and Knowledge Technologies (i-KNOW 2011), ACM, Graz, Austria.
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Gruninger, M., Shapiro, S., Fox, M.S., and Wappner, H., (2010). "Combining RFID with Ontologies to Create Smart Objects", International Journal of Production Research, Vol. 48, No. 9, pp. 2633-2654.
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Fazel-Zarandi, M., and Fox, M.S., (2010).
"Reasoning about Skills and Competencies", In Collaborative Networks for a Sustainable World. IFIP Advances in Information and Communication Technologies, Vol 336, pp. 372-379.
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Bittle, S.A., and Fox, M.S., (2010), "
Transfer Learning of Search Heuristics for Constraint Satisfaction", Proceedings of the 30th SOAR Workshop, pp. 91-95, University of Michigan.
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Fazel-Zarandi, M., and Fox, M.S., (2009).
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Semantic Matchmaking for Job Recruitment: An Ontology-Based Hybrid Approach", In Proceedings of the 3rd International Workshop on Service Matchmaking and Resource Retrieval.Washington DC.
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Bittle, S.A., and Fox, M.S., (2009),
"Learning and Using Hyper-Heuristics for Variable and Value Ordering In Constraint Satisfaction Problems", Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference, pp. 2209-2212, Montreal Canada.
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Huang, J., (2008). "
Knowledge Provenance: An Approach to Modeling and Maintaining The Evolution and Validity of Knowledge", PhD Thesis, Dept. of Mechanical and Industrial Engineering, University of Toronto.
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Fazel-Zarandi, M., (2007). "
A Retail Ontology: Formal Semantics and Efficient Implementation.", M.Sc. Thesis, Dept. of Computer Science, University of Toronto.
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