The Foundational Model of Anatomy and its Ontological Commitment(s) Stefan Schulz University Medical Center, Freiburg, Germany FMA in OWL meeting November.

Slides:



Advertisements
Similar presentations
Ontology Assessment – Proposed Framework and Methodology.
Advertisements

Charting the Potential of Description Logic for the Generation of Referring Expression SELLC, Guangzhou, Dec Yuan Ren, Kees van Deemter and Jeff.
CH-4 Ontologies, Querying and Data Integration. Introduction to RDF(S) RDF stands for Resource Description Framework. RDF is a standard for describing.
Relational statements in OWL Recipe for Failure ? OWL.
1 Institute of Medical Biometry und Medical Informatics, University Medical Center Freiburg, Germany 2 AVERBIS GmbH, Freiburg, Germany 3 Paediatric Hematology.
Catalina Martínez-Costa, Stefan Schulz: Ontology-based reinterpretation of the SNOMED CT context model Ontology-based reinterpretation of the SNOMED CT.
Higgs bosons, mars missions, and unicorn delusions: How to deal with terms of dubious reference in scientific ontologies Stefan Schulz a,b Mathias Brochhausen.
Ontology From Wikipedia, the free encyclopedia In philosophy, ontology (from the Greek oν, genitive oντος: of being (part. of εiναι: to be) and –λογία:
Chapter 9: Ontology Management Service-Oriented Computing: Semantics, Processes, Agents – Munindar P. Singh and Michael N. Huhns, Wiley, 2005.
SNOMED CT’s Ontological Commitment Stefan Schulz University Medical Center, Freiburg, Germany Ronald Cornet Academic Medical Center, Amsterdam, The Netherlands.
Records and situations. Integrating contextual aspects in clinical ontologies Stefan Schulz a,b Daniel Karlsson b a Institute for Medical Informatics,
Reducing the Cost of Validating Mapping Compositions by Exploiting Semantic Relationships Eduard C. Dragut Ramon Lawrence Eduard C. Dragut Ramon Lawrence.
Towards a Computational Paradigm for Biological Structure Stefan Schulz Department of Medical Informatics University Hospital Freiburg (Germany) Udo Hahn.
Ontology Notes are from:
Ontology Engineering for the Comparison of Cadastral Processes Laboratory for Semantic Information Technology Bamberg University Claudia Hess, Christoph.
TR1413: Discrete Mathematics For Computer Science Lecture 3: Formal approach to propositional logic.
Description Logics. Outline Knowledge Representation Knowledge Representation Ontology Language Ontology Language Description Logics Description Logics.
What is an Ontology? AmphibiaTree 2006 Workshop Saturday 8:45–9:15 A. Maglia.
Extracted from “Lmo-2 interacts with Elf-2” On the Meaning of Common Statements in Biomedical Literature Stefan Schulz Department of Medical Informatics,
Introduction to Proofs ch. 1.6, pg. 87,93 Muhammad Arief download dari
Ontological Foundations for Biomedical Sciences Stefan Schulz, Kornél Markó, Udo Hahn Workshop on Ontologies and their Applications, September 28, 2004,
An Ontology-Driven Fuzzy Workflow System
Discrete Mathematics and Its Applications
Ontology-based Convergence of Medical Terminologies: SNOMED CT and ICD-11 Institute for Medical Informatics, Statistics and Documentation, Medical University.
Standardization of Anatomy Parts and Wholes – From Function to Location Stefan Schulz Department of Medical Informatics University Hospital Freiburg (Germany)
Of 39 lecture 2: ontology - basics. of 39 ontology a branch of metaphysics relating to the nature and relations of being a particular theory about the.
OWL 2 Web Ontology Language. Topics Introduction to OWL Usage of OWL Problems with OWL 1 Solutions from OWL 2.
OWL 2 in use. OWL 2 OWL 2 is a knowledge representation language, designed to formulate, exchange and reason with knowledge about a domain of interest.
Michael Eckert1CS590SW: Web Ontology Language (OWL) Web Ontology Language (OWL) CS590SW: Semantic Web (Winter Quarter 2003) Presentation: Michael Eckert.
Metadata. Generally speaking, metadata are data and information that describe and model data and information For example, a database schema is the metadata.
LOGIC AND ONTOLOGY Both logic and ontology are important areas of philosophy covering large, diverse, and active research projects. These two areas overlap.
WHO – IHTSDO: SNOMED CT – ICD-11 coordination: Conditions vs. Situations Stefan Schulz IHTSDO conference Copenhagen, Apr 24, 2012.
Semantic web course – Computer Engineering Department – Sharif Univ. of Technology – Fall Description Logics: Logic foundation of Semantic Web Semantic.
Ontological Foundations of Biological Continuants Stefan Schulz, Udo Hahn Text Knowledge Engineering Lab University of Jena (Germany) Department of Medical.
Semantic Clarification of the Representation of Procedures and Diseases in SNOMED CT Stefan Schulz Medical Informatics, Freiburg University Hospital (Germany)
Ontological Analysis, Ontological Commitment, and Epistemic Contexts Stefan Schulz WHO – IHTSDO Joint Advisory Group First Face-to-Face Meeting Heathrow,
The ICPS: A taxonomy, a classification, an ontology or an information model? Stefan SCHULZ IMBI, University Medical Center, Freiburg, Germany.
What do SNOMED CT Concepts Represent? Stefan Schulz University Medical Center, Freiburg, Germany 31 July & 1 August 2009 Internationales Begegnungszentrum.
How much formality do we need ? Stefan Schulz MedInfo 2007 Workshop: MedSemWeb 2007 What Semantics Do We Need for A Semantic Web for Medicine? University.
Definition Applications Examples
+ From OBO to OWL and back again – a tutorial David Osumi-Sutherland, Virtual Fly Brain/FlyBase Chris Mungall – GO/LBL.
Description Logics Dr. Alexandra I. Cristea. Description Logics Description Logics allow formal concept definitions that can be reasoned about to be expressed.
Section 1.1 Propositions and Logical Operations. Introduction Remember that discrete is –the study of decision making in non-continuous systems. That.
Higgs bosons, mars missions, and unicorn delusions: How to deal with terms of dubious reference in scientific ontologies Stefan Schulz a,b Mathias Brochhausen.
Unintended models in OBO - OWL ontologies OWL Stefan Schulz Freiburg University Medical Center, Germany.
CSC3315 (Spring 2009)1 CSC 3315 Languages & Compilers Hamid Harroud School of Science and Engineering, Akhawayn University
Basic Formal Ontology Barry Smith August 26, 2013.
Using OWL 2 For Product Modeling David Leal Caesar Systems April 2009 Henson Graves Lockheed Martin Aeronautics.
Introduction to Proofs. The use of Reasoning and Logic in proofs Inductive Reasoning- “reasoning from detailed facts to general principles” – Specific.
Ontology Technology applied to Catalogues Paul Kopp.
Introduction to Ontology Introductions Alan Ruttenberg Science Commons.
Proof And Strategies Chapter 2. Lecturer: Amani Mahajoub Omer Department of Computer Science and Software Engineering Discrete Structures Definition Discrete.
Stefan Schulz Medical Informatics Research Group
Formal ontologies vs. triple based KR gap or convergence?
Lecture 1 – Formal Logic.
ece 627 intelligent web: ontology and beyond
Ontology authoring and assessment
Ontology From Wikipedia, the free encyclopedia
Ontological Foundations for Biomedical Sciences
Chapter 10: Mathematical proofs
Ontology.
Why do we need upper ontologies? What are their purported benefits?
ro.owl and shortcut relations
Ontology.
Definitions: Evidence-Based Claims- 1.) the ability to take detailed
Standardization of Anatomy Parts and Wholes – From Function to Location Stefan Schulz Department of Medical Informatics University Hospital Freiburg (Germany)
Standardization of Anatomy Parts and Wholes – From Function to Location Stefan Schulz Department of Medical Informatics University Hospital Freiburg (Germany)
Temporally qualified continuants for BFO 2 OWL A bottom-up view
Representations & Reasoning Systems (RRS) (2.2)
Habib Ullah qamar Mscs(se)
Presentation transcript:

The Foundational Model of Anatomy and its Ontological Commitment(s) Stefan Schulz University Medical Center, Freiburg, Germany FMA in OWL meeting November 12-13, 2009, Stanford University

Ontological commitment “Agreement about the ontological nature of the entities being referred to by the representational units in an ontology” (modified definition following Gruber 93) Formal ontologies: subsumption and equivalence statements are either true or false Problem: truth-value of logical expressions depend on their interpretation re domain that they represent Introduction Examples Discussion Conclusions

Key questions for ontology engineering What are the particulars that are instantiated by ontology classes / concepts / types What are those entities dependent on (without what can’t they exist) When do they come into / go out of existence Is it with respect to a certain perspective (granularity) that an entity can be referred to? Alan Ruttenberg, tutorial at ICBO 2009 Introduction Examples Discussion Conclusions

How to analyze FMA commitments Subjects to analysis: FMA triplets (T1 FMA – r FMA – T2 FMA ) Type interpretation: –T1 and T2 are types. –All instances of T1 are related to at least one instance of T2 by r –In OWL: T1 subClassOf r some T2 Instance interpretation –T1 and T2 are instances (particulars) –(T1, T2) is in the extension of the relation r Special case: r = isa FMA –T1 and T2 are types –T1 is a particular and T2 is a type DL: classes/types and instances/particulars mutually exclusive Introduction Examples Discussion Conclusions

Example 1: Universal statement about right thumbs Right Thumb FMA part_of FMA Right Hand FMA  Right Thumb subClassOf part_of some Right Hand TrueFalse All right thumbs that are part of a living organism Severed right thumbs

Introduction Examples Discussion Conclusions Example 2a: Universal statement about right hands Right Hand FMA has_part FMA Right Thumb FMA  Right Hand subClassOf has_part some Right Thumb TrueFalse All “canonic” right hands Some non-canonic right hands Some non-canonic right hands (those with no thumbs)

Introduction Examples Discussion Conclusions Example 2b: Assertion about individuals Right Hand FMA has_part FMA Right Thumb FMA  Individual: Right Thumb; Facts: part_of Right Hand Individual: Right Hand; Facts: has_part Right Thumb (no universal statement) TrueFalse Right hand and thumb of one canonical individual Information artifact: 2D or 3D representation graph representation Classes of “real” hands and thumbs

Introduction Examples Discussion Conclusions Example 3: Universal statement about information artifacts Right Border of Heart FMA isa FMA Cardiac Border FMA  Right Border of Heart subClassOf Cardiac Border TrueFalse Information artifacts: Radiological images of the thorax “Real” hearts (hearts do not have borders)

Introduction Examples Discussion Conclusions Example 4: Type assignment to a natural language entity Right border of heart viewed radiologically FMA isa FMA General Anatomical Term FMA  Individual: Right border of heart viewed radiologically Type: General Anatomical Term TrueFalse Natural language entities (terms) Hearts, borders

Introduction Examples Discussion Conclusions

Possible interpretation of FMA terms Types of canonical anatomical objects Types of anatomical objects, regardless whether canonical or non-canonical Particulars pertaining to one ideal human body Information artifacts –2D representations: atlas images, radiological images –3D representations: computer models of anatomy –mathematical graphs –entities of natural language Introduction Examples Discussion Conclusions

Conclusions FMA axioms suggest different and competing ontological commitments The same FMA type may be used in different senses: –Muscle FMA has_part FMA Belly of skeletal muscle FMA –Muscle FMA isa FMA General anatomical term FMA Assignment of truth values to FMA expressions is impossible as long the ontological commitment of FMA types is controversial Introduction Examples Discussion Conclusions