Applied Ontology 2018: Difference between revisions
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==September 3: Labor Day – No class== | ==September 3: Labor Day – No class== | ||
==September 10: Big Data and How to Overcome the Problems It Causes== | ==September 10: Big Data and How to Overcome the Problems It Causes== | ||
Reading (prior to September 17 lecture): Chapters 5 and 6 of Arp, Smith and Spear, 2016 | |||
==September 17 Basic Formal Ontology== | ==September 17 Basic Formal Ontology== | ||
Revision as of 20:10, 27 May 2018
PHI 598
An ontology is a structured collection of terms and definitions that is developed with the goal of making data deriving from heterogeneous sources more easily searchable, comparable or combinable. The course will provide an introduction to ontology from an application oriented point of view, including examples in the areas of data science and artificial intelligence. Examples will be drawn from biology and medicine, social science, law, and finance. The course will be of interest not only to philosophers but also to those interested in biomedical informatics and in the computer and information sciences.
Faculty: Barry Smith and Werner Ceusters
August 27: Introduction to Ontology
September 3: Labor Day – No class
September 10: Big Data and How to Overcome the Problems It Causes
Reading (prior to September 17 lecture): Chapters 5 and 6 of Arp, Smith and Spear, 2016
September 17 Basic Formal Ontology
Reading (prior to September 24 lecture): SW Smith and Koppel, 2014
September 24: Ontology and Information Engineering in the Healthcare Domain
October 1: Ontology of Disease
October 8: Protege Class (Brian Dononue)
October 15: Ontological Realism
October 22: Ontology of Organizations
October 29: Artificial Intelligence and Machine Learning
November 5: Building Ontologies: Examples and Worked Exercises
November 12: Finance Ontology
November 19: Ontology of Capabilities
November 26: Presentations of Student Projects 1
December 3: Presentations of Student Projects 2
- Background reading: Building Ontologies with Basic Formal Ontology, MIT Press, 2016
