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| Introduction to Ontology for Data Science and Information Fusion
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| '''Title:''' PHI 549 Applied Ontology, Spring 2017
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| '''Faculty: Barry Smith''' | | '''Title: PHI 598: Introduction to Ontology for Data Science and Information Fusion (Special Topics Course in Ontology)''' |
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| '''Registration:''' [http://www.buffalo.edu/cas/philosophy/grad-study/grad_courses/springcourses_grad.html#title_0 Class# 24197]. Registration details for off-campus students are provided under Part Time/Graduate [http://studentaccounts.buffalo.edu/tuition/spring.php here]. | | '''Initial Offering: TBD''' |
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| '''Course Structure:''' This will be a three credit hour '''on-line''' graduate seminar. It will be taught through the medium of a series of 2-hour long videos incorporating presentation of powerpoint slides and question-answer sessions. Links to videos will be distributed according to the schedule below. The final session will consist be structured around youtube videos created by the students in the class. | | '''Faculty: [http://ontology.buffalo.edu/smith Barry Smith]''' |
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| '''Course Description:''' An ontology is a structured collection of terms used to tag data with the goal of making data deriving from heterogeneous sources more easily searchable, comparable or combinable. Ontologies allow information to be shared across communities of scientists with different sorts of expertise. The Gene Ontology, for example, allows researchers on aging to use data from cell biology, yeast biology, cancer biology, genetics, and gerontology, because all of these disciplines create data that are tagged using Gene Ontology terms. The course will provide an introduction to ontology from an application oriented point of view, focusing on the best practices for ontology development and on the development of plug-and-play ontology modules for re-use in different areas. Examples will be drawn primarily from biology and medicine, but no expertise in this disciplines is presupposed. | | '''Venue: TBA''' |
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| '''Schedule''' | | =='''Course Details'''== |
| The link to the course video for any given week will be provided at 9am on the corresponding Sunday (as listed below). Students are required to watch the video within 48 hours of this posting. Class participants are required to post to the class email forum questions, responses and discussion comments relating to the video from the relevant week.
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| | '''Registration:''' [http://www.buffalo.edu/cas/philosophy/grad-study/grad_courses/springcourses_grad.html#title_0 Class# ]. Registration details for off-campus students are provided under Part Time/Graduate [http://studentaccounts.buffalo.edu/tuition/spring.php here]. |
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| | An online version of this course will be offered. Details will be provided HERE {link to be inserted}. |
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| | '''Course Structure:''' This is a one credit hour course intended for beginning PhDs, Masters and advanced Undergraduate students in all departments. Assessment will be in the form of |
| | :(1) attendance in two full days of lectures, |
| | :(2) ontology-building exercises to be completed within the first 2 weeks of the semester. |
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| | An on-line version of the course will form part of the compulsory online ontology course in the CMIF [https://www.buffalo.edu/cmif/education.html Master of Engineering in Data and Information Fusion]. (It will constitute 1 of the 3 credit hours for this program.) |
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| | '''Course Description:''' An ontology is a structured collection of terms used to tag data with the goal of making data deriving from heterogeneous sources more easily searchable, comparable. combinable, or analysable. Ontologies allow information to be shared across communities with different sorts of expertise. The course will provide an introduction to ontology for students of data science and information fusion. It is co-sponsored by the Department of Philosophy and the Center for Multi-Source Information Fusion. |
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| | '''Schedule:''' The class will be taught over two consecutive days in the week before the beginning of the Spring semester. |
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| ==January 29: Introduction to Ontology== | | =='''Schedule: Day 1'''== |
| :[http://mediastream.buffalo.edu/Content/research/phismith/OntologyVideoFiles/OntologyLectures09B_byLecture/Ontology09Lecture1.wmv Video] [http://ontology.buffalo.edu/smith/courses09/1_Aristotle.ppt Slides]
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| :*A brief history of ontology
| | 8:30 Registration and Coffee |
| :*Semantically enhanced publishing
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| :*GO: The most successful ontology thus far
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| :*Aristotle's Metaphysics and Categories
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| :*The Ontological Square
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| :*Granular partitions
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| :*Aristotle vs. Kant
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| :'''Ontology and Logic''' [http://mediastream.buffalo.edu/Content/research/phismith/OntologyVideoFiles/OntologyLectures09B_byLecture/Ontology09Lecture2.wmv Video] [http://ontology.buffalo.edu/smith/courses09/2_Fantology.ppt Slides]
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| :*David Armstrong's Spreadsheet Ontology
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| :*Fantology: The error of assuming that logic ('F(a)') is the guide to ontological form
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| :*The confusion of universals and properties
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| :*Universals and the Boolean organization of the world of classes | |
| :*First order logic with universal terms (FOLWUT)
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| | 9:00 Introduction to Ontology, Data Science and Information Fusion |
| | :Ontologies and Their Applicatoins |
| | :Data Mining |
| | :Natural Language Processing |
| | :Explainable Artificial Intelligence |
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| | 10:30: Coffee |
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| ==February 5: The Ontology of Social Reality==
| | 10:45 Ontology Time-Line |
| :[http://mediastream.buffalo.edu/Content/research/phismith/OntologyVideoFiles/OntologyLectures09B_byLecture/Ontology09Lecture3.wmv Video] [http://ontology.buffalo.edu/smith/courses09/3_Searle_Documents.ppt Slides] | | :1: 1970s: Strong AI, Robotics, PSL |
| :*Speech acts | | :2: 1990s: The Semantic Web, Linked Open Data |
| :*The money in your bank account | | :3: 2000s: Lessons from the Human Genome Project |
| :*War and chess | | :4: 2010s: Current examples of uses of ontology in data science and information fusion |
| :*Debts | |
| :*Institutions | |
| :*Searle's naturalism and its problems | |
| :*Objects vs. representations | |
| :*Hernando de Soto and The Mystery of Capital | |
| :*Ontology of the credit crunch
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| :'''Why I Am No Longer a Philosopher (or: Ontology Leaving the Mother Ship of Philosophy)''' [http://mediastream.buffalo.edu/Content/research/phismith/OntologyVideoFiles/OntologyLectures09B_byLecture/Ontology09Lecture4.wmv Video] [http://ontology.buffalo.edu/smith/courses09/4_WhyIamNotaPhilosopherOct06.ppt Slides]
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| :*How psychology became a scientific discipline independent of philosophy in the 19th century
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| :*Reasons for founding a new discipline The rise of ontology as an independent discipline
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| :*Research centers, funding, methods, journals, peer review, national and international conferences, teaching
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| :*Practical applications of ontology
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| :*Typical results of the founding of a new discipline
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| :*Towards a career path for ontologists
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| | 12:00 Lunch |
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| ==February 12: Why Computer Science Needs Philosophy==
| | 12:45 Use of Ontologies in Data Fusion and Data Analysis |
| :[http://mediastream.buffalo.edu/Content/research/phismith/OntologyVideoFiles/OntologyLectures09B_byLecture/Ontology09Lecture5.wmv Video],[http://ontology.buffalo.edu/smith/courses09/5_computer%20science_long.ppt Slides]
| | :Examples from Biology |
| :*Today's information-driven science faces a vast new problem of data unification
| | :Examples from Environmental Sciences |
| :*In medicine, this problem can be of life-and-death significance
| | :Examples from Medicine |
| :*The organization that is HL7 | |
| :*Ontology 101: Why computer-science ontology needs common sense | |
| :*Does France exist?
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| :*Why computer scientists prefer a view of ontology as conceptual modeling
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| :*The alternative: scientific ontologies
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| :*Towards ontology (science)
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| :'''Ontology and the Semantic Web''' [http://mediastream.buffalo.edu/Content/research/phismith/OntologyVideoFiles/OntologyLectures09B_byLecture/Ontology09Lecture6.wmv Video], [http://ontology.buffalo.edu/smith/courses09/6_Semantic_Web.ppt Slides]
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| :*Examples of Semantic Web ontologies | |
| :*Simple syllogisms and beyond
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| :*Problems with XML
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| :*Clay Shirky: Why the Semantic Web would be a utopia
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| :*Blooming 'lite' ontologies
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| :*Why ontology requires thinking
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| :*To move in the right direction, the Semantic Web needs (inter alia) a guiding upper level ontology
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| :*CYC, SUMO, DOLCE, BFO
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| | 14:00 Use of Ontologies in Military Domains |
| ==Feb 19: Towards a Standard Upper Level Ontology==
| | :Joint Doctrine Ontology |
| :[http://mediastream.buffalo.edu/Content/research/phismith/OntologyVideoFiles/OntologyLectures09B_byLecture/Ontology09Lecture7.wmv Video], [http://ontology.buffalo.edu/smith/courses09/7_BFO_Common_Standard.ppt Slides]
| | :Ontology for Command and Control |
| :*Scientific ontologies have special features
| | :Ontology and Military Logistics |
| :*Building scientific ontologies which work together demands a common set of ontological relations
| | :Systems Engineering Ontology |
| :*Basic Formal Ontology: benefits of coordination
| | :Space Ontology |
| :*Users of BFO | |
| :*Continuants, occurrents, realizables
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| :*Specific dependence, generic dependence, information artifacts
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| :*Dispositions, roles, functions
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| :*Diseases and disorders: the Ontology of General Medical Science | |
| :'''The Universal Core: Ontology and the US Federal Government Data Integration Initiative''' [http://mediastream.buffalo.edu/Content/research/phismith/OntologyVideoFiles/OntologyLectures09B_byLecture/Ontology09Lecture8.wmv Video], [http://ontology.buffalo.edu/smith/courses09/8_UCoreSL.ppt Slides], [https://philpapers.org/rec/SMIUCS Reading]
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| :*The DoD Net-Centric Data Strategy
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| :*The Universal Core (UCore) Taxonomy and Semantic Layer
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| :*Reasoning with OWL DL
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| :*Managing extension ontologies
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| :*Example: Command and Control
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| :*Information entities | |
| :*The UCore change management process | |
| :*How UCore SL helps | |
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| | 16:00 Close |
| ==Feb 26: Simple Protege Introduction==
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| [https://www.youtube.com/playlist?list=PLea0WJq13cnAfCC0azrCyquCN_tPelJN1 Videos]
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| *When watching these videos please bear in mind that we have not introduced in the class so far the specific terminology used by Protege. Most importantly, 'class' in Sadawi's course is what we have been referring to as 'type' or 'universal'. 'Property' is what we have been referring to as 'Relation'. Each property has a domain and a range; for instance the property teaches has the domain teacher and the range student. A guide (probably more than you need) is [https://www.w3.org/TR/owl-guide/ here] and there is also an introduction to the Semantic Web in the Appendix to the [https://www.amazon.com/Building-Ontologies-Basic-Formal-Ontology/dp/0262527812 BFO book]. If there is terminology used in Sadawi's lectures which you think needs explaining please feel free to post a request to the the class email list [mailto:phi-549-sp-17-list@listserv.buffalo.edu].
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| *In addition to taking Sadawi's course you should also download Protege to your computer from [http://protege.stanford.edu/ here] and experiment with creating simple ontologies of your own and posting them to the web. Include links on the [https://phi-549-sp-17-buffalo.slack.com/ slack page] to the ontologies you create.
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| ==Mar 5: Ontology and Referent Tracking== | | =='''Schedule: Day 2'''== |
| :[https://youtu.be/3DKUjATZOjY Video]
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| *This video presents a set of rules and best practices for ontology creation, together with examples
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| *The three videos below introduce the idea of referent tracking. Where ontologies are descriptions of types (universals and defined classes in reality), a referent tracking system provides a way of referring to and keeping track of the instances of such types. Ontologies and referent tracking systems are thus two sides of a single kind.
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| *A referent system (RTS) is designed not merely to keep track of what is the case in reality but also to allow us to capture what is believed to be the case in reality. It also allows us to keep track of how changes in the information system correspond to changes in the reality outside that system. We will provide an introduction to referent tracking and its implementations.
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| :[http://ncor.buffalo.edu/2013/IE500/11-Basics-of-Referent-Tracking.pptx Basics of Referent Tracking (RT)] [http://ncor.buffalo.edu/2013/IE500/Videos/11-Referent-Tracking.mp4 Video]
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| :[http://ncor.buffalo.edu/2013/IE500/12-RT-and-Video-Surveillance.pptx RT and Video Surveillance] [http://ncor.buffalo.edu/2013/IE500/Videos/12-Video-Surveillance.mp4 Video]
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| :[http://ncor.buffalo.edu/2013/IE500/13-RT-and-Data-descriptions.pptx RT and Data descriptions] [http://ncor.buffalo.edu/2013/IE500/Videos/13-Data-Descriptions.mp4 Video]
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| *Reading: [[How to track absolutely everything?]]. Note that each time your download this pdf file the copy you create is assigned a new referent tracking ID. This enables Dr Ceusters to keep track of the IP addresses of those who are downloading materials from his site and of which versions of these materials they are downloading at which times.
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| | 8:30 Registration and Coffee |
| ==Mar 12: Basic Formal Ontology==
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| The video material for the period from March 12 through March 26 will cover Basic Formal Ontology as described in the [https://books.google.com/books?id=AUxQCgAAQBAJ&printsec=frontcover#v=onepage&q=contents&f=false book] and in the more technical specification [https://github.com/BFO-ontology/BFO/raw/master/docs/bfo2-reference/BFO2-Reference.pdf here].
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| :[http://ncor.buffalo.edu/2017/BFO-Part1.mp4 BFO Part One: Overview of BFO] | | 9:00 Use of Ontologies in Intelligence Domains |
| :[http://ncor.buffalo.edu/2012/BFO_Tutorial_2012.pptx Slides] | | :Ontology and Intelligence Analysis |
| | :Ontology and Geospatial Intelligence |
| | :Ontology and Information Fusion |
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| ::What BFO is used for | | 10:30: Coffee |
| :::BFO is an upper-level ontology
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| :::Ontological realism: an evidence-based strategy for ontology development
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| :::Starting point for downward population
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| :::Annotation of scientific and administrative data
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| :::Part storehouse of lessons learned, part QWERTY keyboard
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| :::Basis for common training
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| :::Works best under the hood
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| ::Brief history of BFO
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| :::Pre-History
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| ::::Aristotle's Ontological Square
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| :::Edmund Husserl
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| :::Truthmakers
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| :::The Naive Physics Manifesto
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| :::Mereotopology
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| :::The Gene Ontology and the Foundational Model of Anatomy
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| ::BFO's competitors | | 10:45: Ontology of Terrorism |
| :::DOLCE
| | :Defining Terrorism |
| :::SUMO
| | :Terrorism and Crime |
| :::CYC
| | :Predicting Terrorist Radicalization |
| :::What BFO, DOLCE, SUMO, CYC have in common
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| :::Arguments in favor of using BFO
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| ::Important users of BFO
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| :::OBO Foundry
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| :::NIF Standard
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| :::OBI
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| :::IDO Consortium
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| :::Plant Ontology
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| :::Universal Core Semantic Layer
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| ::How BFO is constructed and maintained
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| :::Conservative evolution
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| :::Simplicity (two levels; no qualities of qualities)
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| :::Strict formality (no overlap with domain ontologies) | |
| :::Asserted monohierarchy and inferred polyhierarchy | |
| :::Truthmaker
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| :::Non-multiplicative (the statue is the portion of clay during the time when the latter has a certain role)
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| :::Perspectivalism
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| :::No reductionism, no phenomenalism
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| :::No 'context'
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| :::No meanings, fictions, non-existents
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| ::::The Semiotic Triangle
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| :::No 'possible worlds' | |
| :::No abstracta
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| :::How to deal with thoughts, beliefs, information artifacts
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| ::Overview of BFO 1.0
| | 12:00 Lunch |
| :::Instances and universals
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| :::Continuants and occurrents
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| :::Dependent entities and independent entities
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| ::::PATO qualities
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| :::Different kinds of relations
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| ::::Symmetry, asymmetry and inverses
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| ::::The all-some rule
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| ::::What to do with probabilistic and other some-some relations?
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| :::Realizables
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| ::::Roles
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| ::::Dispositions and the treatment of modality
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| ::::Functions
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| ::Added in BFO 1.1
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| :::Generically and specifically dependent continuants, concretizations, and relations of dependence
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| :::Information entities
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| A shorter summary of the March 12-26 material is presented here:
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| :[https://www.youtube.com/watch?v=iTNQYyh88-Y BFO 2.0 Shorter Version Part One]
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| :[https://www.youtube.com/watch?v=IMCBON2me3Y BFO 2.0 Shorter Version Part Two]
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| | 12:45 Ontology Technology |
| | :The Web Ontology Language (OWL) |
| | :Ontology Repositories |
| | :The Protégé Ontology Editor |
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| :Mar 19 Spring Recess | | 14:00 Introduction to Ontology Building |
| | :Simple Guide to Building Ontologies with Protégé |
| | :Examples |
| | :Interactive Ontology Building Session |
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| ==Mar 26 Basic Formal Ontology (Continued)==
| | ---- |
| :[http://ncor.buffalo.edu/2012/BFO_Tutorial_2012.pptx Slides]
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| :[http://ncor.buffalo.edu/2017/BFO-Part2.mp4 BFO Part Two: Varieties of continuant entities]
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| ::Boundaries, sites and spatial regions
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| :::Material entities occupy spatial regions
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| :::Temporal instants and temporal intervals
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| :::Spatial boundaries and spatial volumes
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| ::Time, space and coordinate frames
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| ::Material and immaterial entities
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| ::Objects, fiat object parts and object aggregates
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| :::Three kinds of objects
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| ::::Organisms
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| ::::Solid portions of matter
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| ::::Engineered artifacts
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| :::A problem case: Cell adhesion
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| ::Fiat objects reflect granular partitions
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| ::Object aggregates reflect granular partitions
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| :::Organisms and molecules
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| ::Object aggregates can change their members over time
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| ::Rigid and non-rigid universals
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| :::Determinates and determinables
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| :::Role universals are rigid universals
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| :[http://ncor.buffalo.edu/2017/BFO-Part3.mp4 BFO Part Three: Process Profiles] | | Further readings are provided here: http://ontology.buffalo.edu/smith/ |
| ::Process profiles as targets of process measurements
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| :::Temperature charts
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| :::Cognitive selection
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| :::The Wiggers diagram
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| :::Quality process profiles
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| ::::Color
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| ::::Hue, saturation and brightness
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| :::Polyphonic music
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| :::Determinables and determinates
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| :::Rate process profiles
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| ::::Heart rate
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| ::::Speed
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| :::Relative Process profiles
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| ::Process profiles and time-series graphs
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| :::Truthmakers for graphs
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| ==April 2: Basic Formal Ontology (Continued)==
| | '''Requirements''': This course is open to all persons with an undergraduate degree and some relevant experience (for example in data scientists, information engineers, terminology researchers). |
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| :[http://ncor.buffalo.edu/2017/BFO-Part4.mp4 BFO Part Four: Granular Partitions]
| | '''Grading''' will be based on: |
| :[http://ncor.buffalo.edu/2012/BFO_Tutorial_2012.pptx Slides]
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| ::Manipulating partitions
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| ::Object partitions
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| ::Quality partitions
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| :::Color
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| ::Map layers
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| ::Process partitions
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| :::Map-based partitions of occurrent reality and the fiat entities they create
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| ::::Weather
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| ::::Napoleon's march to Moscow
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| ::From photography to film
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| ::Persistence in time
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| :::Partition sequences
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| ::::Tossing a coin
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| ::::Chess
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| ::::Flying from Vienna to New York
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| ::::Molecular pathways
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| ::Defining 'process profile'
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| :::Focusing on the cello part when you listen to a string quartet
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| ::Granular partitions and the Davidsonian theory of events
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| :[https://www.youtube.com/watch?v=xVVUH00cMNY Quantities as Fiat Universals] | | :1. class participation (50%) |
| :[http://ontology.buffalo.edu/smith/ppt/Quantities-Lugano-Feb-2017.pptx Slides] | | :2. completion of |
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| Granular partitions are systems of cells which are projected on corresponding portions of reality. Maps of the territorial dioceses and archdioceses of the Catholic Church of the United States, for example, are granular partitions of a certain area of land. The former stands to the latter in the relation of refinement. Some granular partitions reflect bona fide divisions of reality, for example between mammals and reptiles. Others, for example, between normal and elevated blood pressure, represent reality in terms of fiat demarcations introduced for diagnostic or other purposes. This talk applies the theory of granular partitions to our understanding of quantities and of units of measure.
| | For policy regarding incompletes see [http://grad.buffalo.edu/Academics/Policies-Procedures/Grading-Procedures.html here] |
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| ==Apr 9: Environments and Emotions==
| | For academic integrity policy see [http://www.grad.buffalo.edu/policies/academicintegrity.php here] |
| :[https://www.youtube.com/watch?v=gxihMdMiV0Y Environments: Inside and Outside the Organism] [http://ontology.buffalo.edu/smith/ppt/Envo_Merced_Aug2011.ppt Slides]
| | ---- |
| ::The talk begins with the question: What is an environment? Environments fall outside traditional philosophical classifications since they are neither things nor events. The Environment Ontology proposes a new approach to the understanding of environments grounded in the science of ecology, and considering environments within the same family as niches, habitats, and biomes. The talk concludes with a discussion of the relationship between the ontology of biological environments and the idea of environment underlying the ecological psychology of J. J. Gibson and the theory of behavior settings put forward by Roger Barker.
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| :[https://www.youtube.com/watch?v=18php_34s-M The Emotion Ontology] [http://ontology.buffalo.edu/smith/Emotion-Ontology/MFO-EM.pptx Slides]
| | == '''Student Learning Outcomes''' == |
| ::The scientific study of emotions utilizes data of a wide range of different sorts, ranging from introspective and observational reports of individual emotional experiences to experimental data deriving from chemical, genetic, and neurological studies. Scientific ontologies provide a strategy for the integration of such heterogeneous data by providing formal definitions of the types of entities in the corresponding domains of reality and a controlled vocabulary in whose terms the different sorts of data can be consistently described. Heretofore, there has been little effort directed towards such formal representation for emotional phenomena, in part because of widespread debates within the affective science community on matters of definition and categorization. The Emotion Ontology is an attempt to rectify this shortfall. I will describe the ontology and show how it interoperates with ontologies in neighboring areas such as neurochemistry. I will also draw some general conclusions pertaining to classification in psychological and psychiatric domains, to the treatment of grief, and to the relation of all of the above to questions of philosophy.
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| | {| class="wikitable" |
| | |- |
| | ! Program Outcomes/Competencies |
| | ! Instructional Method(s) |
| | ! Assessment Method(s) |
| | |- |
| | | The student will acquire an introductory knowledge of current ontology methods in areas relating to data science and information fusion |
| | | Class lectures |
| | | Attendance registry |
| | |- |
| | | The student will acquire experience in ontology development |
| | | Ontology-building exercise |
| | | Review of submitted Protégé file |
| | |} |
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| ==Apr 16: The Ontology of Social Reality (continued)== | | =='''Grading'''== |
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| :[https://www.youtube.com/watch?v=AaFnMesr6uQ Diagrams and Time] [http://ontology.buffalo.edu/smith/ppt/Diagrams-and-Time.pptx Slides] | | Grading will be based on two factors: class participation and Protégé ontology-building exercise; the former will be assessed on the basis of attendance lists which will be circulated at on both days at non-preannounced times, |
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| ::A set of intermeshed diagrams called musical scores guides the complex series of human actions we call an orchestral performance. A set of intermeshed diagrams in a military field manual, similarly, guides the complex series of human actions which is a military operation. Musical scores and field manuals serve similarly as the basis for training of the users of such diagrams, which are able to perform their guidance functions only if their users have correspondingly intermeshed types of expertise. | | Grades will be weighted according to the following breakdown: |
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| :[https://www.youtube.com/watch?v=tHap_q-dUKk Commanding and Other Social Acts] [http://ontology.buffalo.edu/smith/ppt/Commanding.pptx Slides] | | Weighting Assignment |
| | :50% - class attendance |
| | :50% - completion of Protégé ontology-building exercise |
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| ::We begin by distinguishing speech acts from document acts, where the latter includes not only for example signing or stamping or filling in a paper document but also including the acts performed, for instance, when you are completing and submitting your tax forms using tax software. We refer to the latter as e-document acts. Planning, and especially military planning, is nowadays a matter of both paper document acts and e-document acts. Successful military planning requires that there be pre-defined types of actions which planners can incorporate into their plans. Planners must be confident that warfighters will be able to execute actions of these types in an effective way. We show how this confidence is achieved 1. through military doctrine -- which defines the relevant action types -- and 2. through military training -- which builds the warfighters who can execute them. Military plans, military doctrine and military training relate not only to the actions of individual warfighters, but also to team actions and to the sorts of team of team actions involved when entire armies are involved in military options. It is the role of military command to make this possible -- we plan team actions by planning the individual actions of commanders at different levels in the military hierarchy. The speech acts and document acts we call military commands thus occur in the typical case as part of the execution of military plans. We conclude with a comparison between the planning, training, and commanding on the side of the military with the orchestration, rehearsal, and conducting that takes place in the performance of symphonic music.
| | Students whose presence is not recorded in both lists will receive 0% for attendance. Details of requirements for the ontology-building exercise will be provided in class. |
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|
| :[https://www.youtube.com/watch?v=VtRM4gPl0TU The Ontology of Terrorism] [http://ontology.buffalo.edu/16/Ontology-of-Terrorism.pdf Slides]
| | '''Final Grades''' |
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| ::Notoriously, intelligence agencies face the problem of Connecting the Dots. 'Connecting', here, means not only cross-identifying the individuals referred to in different sources, but also combining in useful ways all the data about such individuals. Ontologies allow analysts to harvest combinable information from messy inputs by providing consistent sets of terms for describing the entities involved. Suppose, for example, that ontology terms have been used to tag collections of heterogeneous source data about, say, persons in Baghdad. Analysts can then use the results to identify all available data regarding, say, persons who speak Armenian, or persons with expertise in Java programming; and they can do this independently of the type of data (text, images, audio)which served as inputs. To be effective, however, ontologies need to contain not just terms but also definitions. To illustrate how this works we will consider some simple examples of ontology building, concluding with an ontological approach to the definition of terrorism.
| | Grade Quality Percentage |
| | {| |
| | | A || 4.0 || 93.0% -100.00% |
| | |- |
| | | A- || 3.67 || 90.0% - 92.9% |
| | |- |
| | | B+ || 3.33 || 87.0% - 89.9% |
| | |- |
| | | B || 3.00 || 83.0% - 86.9% |
| | |- |
| | | B- || 2.67 || 80.0% - 82.9% |
| | |- |
| | | C+ || 2.33 || 77.0% - 79.9% |
| | |- |
| | | C || 2.00 || 73.0% - 76.9% |
| | |- |
| | | C- || 1.67 || 70.0% - 72.9% |
| | |- |
| | | D+ || 1.33 || 67.0% - 69.9% |
| | |- |
| | | D || 1.00 || 60.0% - 66.9% |
| | |- |
| | | F || 0 || 59.9% or below |
| | |} |
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| |
|
| ==Apr 23: The Ontology of Social Reality (continued)== | | =='''Related Policies and Services'''== |
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| :[https://www.youtube.com/watch?v=18php_34s-M The Emotion Ontology]
| | '''Academic integrity''' is a fundamental university value. Through the honest completion of academic work, students sustain the integrity of the university while facilitating the university's imperative for the transmission of knowledge and culture based upon the generation of new and innovative ideas. See http://grad.buffalo.edu/Academics/Policies-Procedures/Academic-Integrity.html. |
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| ::The scientific study of emotions utilizes data of a wide range of different sorts, ranging from introspective and observational reports of individual emotional experiences to experimental data deriving from chemical, genetic, and neurological studies. Scientific ontologies provide a strategy for the integration of such heterogeneous data by providing formal definitions of the types of entities in the corresponding domains of reality and a controlled vocabulary in whose terms the different sorts of data can be consistently described. Heretofore, there has been little effort directed towards such formal representation for emotional phenomena, in part because of widespread debates within the affective science community on matters of definition and categorization. The Emotion Ontology is an attempt to rectify this shortfall. I will describe the ontology and show how it interoperates with ontologies in neighboring areas such as neurochemistry. I will also draw some general conclusions pertaining to classification in psychological and psychiatric domains, to the treatment of grief, and to the relation of all of the above to questions of philosophy. | | '''Accessibility resources:''' If you have any disability which requires reasonable accommodations to enable you to participate in this course, please contact the Office of Accessibility Resources in 60 Capen Hall, 645-2608 and also the instructor of this course during the first week of class. The office will provide you with information and review appropriate arrangements for reasonable accommodations, which can be found on the web [http://www.buffalo.edu/studentlife/who-we-are/departments/accessibility.html here]. |
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| :[https://www.youtube.com/watch?v=WIJJlnLLWGU Deontology Ontology]
| | == '''Background Reading and Video Materials''' == |
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| ::Basic Formal Ontology provides no obvious category under which deontic entities such as claims, rights, obligations, permissions fall. The lecture provides a summary of how such entities may be treated in a way that is consistent with BFO, focusing on the case of obligations generated through acts of promising. a longer version of this material is presented [https://www.youtube.com/watch?v=W4Vefe5p6p4 here] and [https://www.youtube.com/watch?v=Hk6Df2geYiQ here].
| | '''Optional Background Reading''' Robert Arp, Barry Smith and Andrew Spear, [https://mitpress.mit.edu/index.php?q=books/building-ontologies-basic-formal-ontology Building Ontologies with Basic Formal Ontology], Cambridge, MA: MIT Press, August 2015 |
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| :[https://www.youtube.com/watch?v=bp3B2GkgaB8 Ontology of the Organigram]
| | *[http://ontology.buffalo.edu/smith/articles/ontologies.htm Ontology: An Introduction] |
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| ::An organigram is a graph-theoretic structure consisting of nodes and edges. The nodes standardly represent three sorts of entities: divisions within the organization, offices of the persons who head these divisions, and the current holders of such offices. The edges represent relations of sub- and superordination between the entities represented by the nodes. Where such a relation obtains the subordinate has obligations based upon his consent to perform certain duties as directed and controlled by the superordinate. We will evaluate the hypothesis that an organization is itself a graph-theoretic structure that is (or is capable of being) represented by an organigram. | | *[http://ontology.buffalo.edu/smith/articles/Horizontal-integration.pdf Horizontal Integration of Warfighter Intelligence Data] |
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| ==Apr 30: Ontology of Medicine ==
| | *[http://ncorwiki.buffalo.edu/index.php/Ontology_for_Intelligence,_Defense_and_Security Ontology for Intelligence, Defense and Security (2012)] |
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| :[https://www.youtube.com/watch?v=b4kULamlFaM The Ontology of Disease]
| | *[http://ncorwiki.buffalo.edu/index.php/Introduction_to_Prot%C3%A9g%C3%A9 Intoduction to Protégé] |
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| ::A recent paper in the journal Healthcare Informatics Research identifies a paradigm shift - 'from concept representations to ontologies' - in the ways medical terminologies and vocabularies are used to describe medical data [1]. We will describe what this paradigm shift involves, what it means to talk about 'ontologies' in the medical context, and how such talk relates to the traditional concerns of philosophical ontologists. We shall conclude with an ontological definition of disease, and illustrations of how this definition can be applied to a range of clinical examples. [1] See http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3920035/
| | *[https://wiki.csc.calpoly.edu/OntologyTutorial/wiki/IntroductionToOntologiesWithProtege Protégé Tutorial] |
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| :[https://www.youtube.com/watch?v=3U55vU8SfEo How to Build an Imaging Ontology]
| | *[http://protegewiki.stanford.edu/wiki/Protege4GettingStarted Getting Started with Protege 4]. |
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| ::We will provide an introduction to the field of biomedical ontology with special reference to the field of pathology informatics. We will look at examples of existing ontologies especially the Ontology for Biomedical Investigations (OBI), the Ontology for Biological and Clinical Statistics (OBCS), and the Ontology for General Medical Science (OGMS). We will then draw lessons from these examples for an ontology of pathology imaging. | | *[http://owl.cs.manchester.ac.uk/tutorials/protegeowltutorial Matthew Horridge's Protege-OWL Tutorial]. |
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| :[https://www.youtube.com/watch?v=gc5a0LaXaBo The Glory and Misery of Electronic Health Records]
| | *[http://militaryontology.org Military Ontology] |
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| ::Starting from around 2005, national programs for the introduction of Electronic Health Records (EHRs) were launched with great enthusiasm in the US and UK. EHRs were seen as a means of increasing quality, safety and continuity of clinical care while at the same time reducing healthcare costs. I will survey the results of these, pointing out both achievements and failures. Specific topics to be addressed include: problems of data interoperability; ‘meaningful use’; the role of SNOMED CT, openEHR, and FHIR; and the prospects for secondary use of EHR data in information-driven clinical and translational research.While bioinformatics has witnessed enormous technological advances since the turn of the millennium, progress in the EHR field has been stymied by outdated approaches entrenched through ill-conceived government mandates. In the US, especially, the dominant EHR systems are expensive, difficult to use, fail to ensure even a minimal level of interoperability, and detract from patient care. I will conclude by sketching an evolutionary path towards the sort of EHR landscape that will be needed in the future, in which consistency with biomedical ontologies will play a central role. | | *[http://ontology.buffalo.edu/smith/ Streaming video presentations and training courses in ontology] |
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| :[https://www.youtube.com/watch?v=PhW-ix-FoOQ Ethics, Informatics and Obamacare]
| | *[http://www.sciencedirect.com/science/article/pii/S1877050913000690 Concept Analysis to Enrich Manufacturing Service Capability Models] |
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| ::Surveys a series of ethical, economic, clinical and also safety issues relating to the application of informatics to healthcare, focusing especially on the role of informatics in the Patient Protection and Affordable Care Act. Talk presented in the University at Buffalo Clinical/Research Ethics Seminar - Ethics, Informatics and Obamacare, November 20, 2012. Slides are available here: http://ontology.buffalo.edu/13/ethics-informatics-obamacare.pptx
| | *[http://www.sciencedirect.com/science/article/pii/S0166361514000438 Supply Chain Management Ontology] |
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| ==May 7 Student video presentations==
| | *[http://link.springer.com/article/10.1007/s40436-014-0073-2 Ontology-based interoperability solutions for textile supply chain] |
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| ==Background Materials==
| | *[http://ontology.buffalo.edu/smith/articles/ontologies.htm Ontology: An Introduction] |
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| |
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| '''Example Ontologies'''
| | *[http://ontology.buffalo.edu/smith/articles/Horizontal-integration.pdf Horizontal Integration of Warfighter Intelligence Data] |
| ::[http://obofoundry.org/ontology/iao.html Information Artifact Ontology]
| |
| ::[http://geneontology.org Gene Ontology]
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| ::[http://obofoundry.org OBO (Open Biomedical Ontologies) Foundry]
| |
| ::[https://jbiomedsem.biomedcentral.com/articles/10.1186/2041-1480-4-43 The Environment Ontology]
| |
| ::[https://www.youtube.com/watch?v=b4kULamlFaM Ontology for General Medical Science]
| |
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| '''Text:''' Robert Arp, Barry Smith and Andrew Spear, [https://mitpress.mit.edu/index.php?q=books/building-ontologies-basic-formal-ontology Building Ontologies with Basic Formal Ontology], Cambridge, MA: MIT Press, August 2015
| | *[http://ncorwiki.buffalo.edu/index.php/Ontology_for_Intelligence,_Defense_and_Security Ontology for Intelligence, Defense and Security (2012)] |
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| Further readings are provided here: http://ontology.buffalo.edu/smith/
| | *[http://ncorwiki.buffalo.edu/index.php/Introduction_to_Prot%C3%A9g%C3%A9 Intoduction to Protégé] |
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| '''Requirements''': This course is open to all persons with an undergraduate degree and some relevant experience (for example in data scientists, information engineers, terminology researchers). No prior knowledge of ontology is required. In order to receive a grade and course credit students will be required to have reviewed in a timely manner all provided videos and any accompanying recommended reading. Grading will be on the basis of contributions to the on-line class discussion forum and on the quality and content of a 20 minute youtube video (with accompanying essay and powerpoint slide deck) on some topic in the field of applied ontology. Each student will be required to create one such video for presentation in the final class session on May 8. Examples of student videos created in comparable classes in the past are available [http://ncorwiki.buffalo.edu/index.php/Analytic_Metaphysics#April_26:_Presentations_of_Student_Projects_1 here] and [http://ncorwiki.buffalo.edu/index.php/Ontological_Engineering_2014#November_24:_Presentations_of_Student_Projects_1 here].
| | *[https://wiki.csc.calpoly.edu/OntologyTutorial/wiki/IntroductionToOntologiesWithProtege Protégé Tutorial] |
| *Your video should be 20 minutes long; it will be graded on the basis of clarity and force of argument, interestingness of content, and quality of delivery.
| |
| *The video should be based on a powerpoint presentation of approximately 20 slides. The slides should provide a minimal amount of text (using 30 point font or above), together with accompanying graphics, for example charts representing data. You should not ''read'' the slides -- rather, you should use the slides as summaries of the successive points you want to make, and present these points ''ex tempore''.
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| *The video should be accompanied by an essay presenting the points you make and providing literature references, the whole amounting to at least 3000 words. A short draft of your essay should be submitted to Dr Smith by March 31 at the latest.
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| Class participants should communicate by email with Dr Smith to determine topic and scope of your video presentation and accompanying materials.
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| '''Grading''' will be based on:
| | *[http://protegewiki.stanford.edu/wiki/Protege4GettingStarted Getting Started with Protege 4]. |
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| :1. forum participation (25%) | | *[http://owl.cs.manchester.ac.uk/tutorials/protegeowltutorial Matthew Horridge's Protege-OWL Tutorial]. |
| :2. 20 minute youtube video (25%)
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| :3. associated powerpoint slides (25%)
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| :4. associated essay (25%)
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| For policy regarding incompletes see [http://grad.buffalo.edu/Academics/Policies-Procedures/Grading-Procedures.html here]
| | *[http://militaryontology.org Military Ontology] |
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| For academic integrity policy see [http://www.grad.buffalo.edu/policies/academicintegrity.php here]
| | *[http://ontology.buffalo.edu/smith/ Streaming video presentations and training courses in ontology] |
