Stefan Schulz Language and Information Engineering (JULIE) Lab, Jena University, Germany Representing Natural Kinds by Spatial Inclusion and Containment.

Slides:



Advertisements
Similar presentations
1 Institute of Medical Biometry und Medical Informatics, University Medical Center Freiburg, Germany 2 AVERBIS GmbH, Freiburg, Germany 3 Paediatric Hematology.
Advertisements

Temporally qualified continuants for BFO 2 OWL A bottom-up view Stefan Schulz, Janna Hastings July 10, 2013.
Anatomical boundaries and immaterial objects Stefan Schulz Department of Medical Informatics University Hospital Freiburg (Germany)
Higgs bosons, mars missions, and unicorn delusions: How to deal with terms of dubious reference in scientific ontologies Stefan Schulz a,b Mathias Brochhausen.
Schulz S, Boeker M – BioTopLite – An Upper Level Ontology for the Life Sciences – ODLS 2013 BioTopLite : An Upper Level Ontology for the Life Sciences.
A Description Logics Approach to Clinical Guidelines and Protocols Stefan Schulz Department of Med. Informatics Freiburg University Hospital Germany Udo.
SNOMED CT’s Ontological Commitment Stefan Schulz University Medical Center, Freiburg, Germany Ronald Cornet Academic Medical Center, Amsterdam, The Netherlands.
Who am I Gianluca Correndo PhD student (end of PhD) Work in the group of medical informatics (Paolo Terenziani) PhD thesis on contextualization techniques.
Towards a Computational Paradigm for Biological Structure Stefan Schulz Department of Medical Informatics University Hospital Freiburg (Germany) Udo Hahn.
1 An Ontology of Relations for Biomedical Informatics Barry Smith 10 January 2005.
The Role of Foundational Relations in the Alignment of Biomedical Ontologies Barry Smith and Cornelius Rosse.
1 Beyond Concepts Barry Smith
FMA: a domain reference ontology Comments on Cornelius Rosse’s talk Anita Burgun WG6 meeting, Rome 29 Apr- 2 May 2005.
Thomas Bittner and Barry Smith IFOMIS (Saarbrücken) Normalizing Medical Ontologies Using Basic Formal Ontology.
STOP Barry Smith Smart Terminologies via Ontological Principles.
Introduction to Protégé AmphibiaTree 2006 Workshop Sunday 8:45–9:15 J. Leopold & A. Maglia.
1 Logical Tools and Theories in Contemporary Bioinformatics Barry Smith
Biological Ontologies Neocles Leontis April 20, 2005.
1 The OBO Relation Ontology Genome Biology 2005, 6:R46 based on the fundamental distinction between instances and universals takes instances and time into.
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,
A Formal Theory for Spatial Representation and Reasoning in Biomedical Ontologies Maureen Donnelly Thomas Bittner.
Ontological Foundations for Biomedical Sciences Stefan Schulz, Kornél Markó, Udo Hahn Workshop on Ontologies and their Applications, September 28, 2004,
Reference Ontologies, Application Ontologies, Terminology Ontologies Barry Smith
Temporally qualified continuants for BFO 2 OWL A bottom-up view Stefan Schulz, Janna Hastings, Fabian Neuhaus July 10, 2013.
Improving Data Discovery in Metadata Repositories through Semantic Search Chad Berkley 1, Shawn Bowers 2, Matt Jones 1, Mark Schildhauer 1, Josh Madin.
Developing an OWL-DL Ontology for Research and Care of Intracranial Aneurysms – Challenges and Limitations Holger Stenzhorn, Martin Boeker, Stefan Schulz,
Ontology Development in the Sciences Some Fundamental Considerations Ontolytics LLC Topics:  Possible uses of ontologies  Ontologies vs. terminologies.
Standardization of Anatomy Parts and Wholes – From Function to Location Stefan Schulz Department of Medical Informatics University Hospital Freiburg (Germany)
The Foundational Model of Anatomy and its Ontological Commitment(s) Stefan Schulz University Medical Center, Freiburg, Germany FMA in OWL meeting November.
Stefan Schulz Medical Informatics Research Group
GO and OBO: an introduction. Jane Lomax EMBL-EBI What is the Gene Ontology? What is OBO? OBO-Edit demo & practical What is the Gene Ontology? What is.
Alignment of the UMLS Semantic Network with BioTop Methodology and Assessment Stefan Schulz University Medical Center, Freiburg, Germany Elena Beisswanger.
Open Biomedical Ontologies. Open Biomedical Ontologies (OBO) An umbrella project for grouping different ontologies in biological/medical field –a repository.
The Ontology of Biological Taxa
GENE ONTOLOGY FOR THE NEWBIES Suparna Mundodi, PhD The Arabidopsis Information Resources, Stanford, CA.
A CompuGroup Software GmbH, Koblenz, Germany b IMBI, University Medical Center Freiburg, Germany c Semfinder AG, Kreuzlingen, Switzerland d OntoMed Research.
Temporally qualified continuants for BFO 2 OWL A bottom-up view Stefan Schulz, Janna Hastings, Fabian Neuhaus 25 Oct 2013.
Towards a Top-Level Ontology for Molecular Biology Stefan Schulz 1, Elena Beisswanger 2, Udo Hahn 2, Joachim Wermter 2, 1 Freiburg University Hospital,
The Gene Ontology: a real-life ontology, progress and future. Jane Lomax EMBL-EBI.
The Gene Ontology project Jane Lomax. Ontology (for our purposes) “an explicit specification of some topic” – Stanford Knowledge Systems Lab Includes:
What is an Ontology? An ontology is a specification of a conceptualization that is designed for reuse across multiple applications and implementations.
A School of Information Science, Federal University of Minas Gerais, Brazil b Medical University of Graz, Austria, c University Medical Center Freiburg,
Ontologies GO Workshop 3-6 August Ontologies  What are ontologies?  Why use ontologies?  Open Biological Ontologies (OBO), National Center for.
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)
From GENIA to BioTop – Towards a Top-Level Ontology for Biology Stefan Schulz, Elena Beisswanger, Udo Hahn, Joachim Wermter, Anand Kumar, Holger Stenzhorn.
How to Distinguish Parthood from Location in Bio-Ontologies Stefan Schulz a,b, Philipp Daumke a, Barry Smith c,d, Udo Hahn e a Department of Medical Informatics,
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.
What is an Ontology? A representation of knowledge in a domain In theory Thomas Gruber (1993) “An ontology is a formal, explicit specification of a shared.
Ontologies Working Group Agenda MGED3 1.Goals for working group. 2.Primer on ontologies 3.Working group progress 4.Example sample descriptions from different.
Scope of the Gene Ontology Vocabularies. Compile structured vocabularies describing aspects of molecular biology Describe gene products using vocabulary.
Towards a Top-Domain Ontology for Linking Biomedical Ontologies Holger Stenzhorn a,b Elena Beißwanger c Stefan Schulz a a Department of Medical Informatics,
Knowledge Representation. Keywordsquick way for agents to locate potentially useful information Thesaurimore structured approach than keywords, arranging.
Investigating semantic similarity measures across the Gene Ontology: the relationship between sequence and annotation Bioinformatics, July 2003 P.W.Load,
1 The OBO Relation Ontology: Preliminaries Barry Smith
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 III Cristian Cocos (CLIStFX). Recap What Why (interoperability, “Tower of Babel,” the problem of “human idiosyncrasy”) Upper-Level Ontology,
International Workshop 28 Jan – 2 Feb 2011 Phoenix, AZ, USA SysML and Ontology in Biomedical Modeling Henson Graves Yvonne Bijan 30 January 2011.
Stefan Schulz, Martin Boeker, Holger Stenzhorn: How Granularity Issues Concern Biomedical Ontology Integration Stefan Schulz, Martin Boeker, Holger Stenzhorn.
Introduction to Ontology Introductions Alan Ruttenberg Science Commons.
OWL (Ontology Web Language and Applications) Maw-Sheng Horng Department of Mathematics and Information Education National Taipei University of Education.
Stefan Schulz Medical Informatics Research Group
Formal ontologies vs. triple based KR gap or convergence?
Towards a Computational Paradigm for Biological Structure
Text Knowledge Engineering Lab University of Jena (Germany)
Representing Natural Kinds by Spatial Inclusion and Containment
Ontological Foundations for Biomedical Sciences
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)
Presentation transcript:

Stefan Schulz Language and Information Engineering (JULIE) Lab, Jena University, Germany Representing Natural Kinds by Spatial Inclusion and Containment Udo Hahn Medical Informatics, Freiburg University, Germany

Representation of Physical Parts of Organisms Large terminological repositories in biology exist and grow... Foundational Model of Anatomy: Human sig.biostr.washington.edu/projects/fm/ Open Biological Ontologies (OBO): Mouse, Fly, Fish, Worm, Fungi, … obo.sourceforge.net Gene Ontology (GO) cellular component: Species independent Ontologies of Biological Structure

Canonic Representation of Mereotopological Structure rel (Class 1,Class 2 ), e.g. part-of (CellNucleus, Cell)

Canonic Representation of Mereotopological Structure rel (Class 1,Class 2 ), e.g. part-of (CellNucleus, Cell) Open questions: What is the meaning of mereotopological relations in Biology Class level reading of mereotopological relations, how to interpret ?

Canonic Representation of Mereotopological Structure rel (Class 1,Class 2 ), e.g. part-of (CellNucleus, Cell) Open questions: What is the meaning of mereotopological relations in Biology Class level reading of mereotopological relations, how to interpret ?

Fuzziness of Mereotopological Relations in Biology continuum… a Cell Membrane a Cell a Mitochondrion a Cell some Glucose a Cell some Virus DNA a Cell has-part part-of Parthood Containment

Fuzziness of Mereotopological Relations in Biology continuum… a Cell Membrane a Cell a Mitochondrion a Cell some Glucose a Cell some Virus DNA a Cell has-part part-of Parthood Containment location-of / has-locationhas-part / part-of includes / containee-of

Canonic Representation of Mereotopological Structure rel (Class 1,Class 2 ), e.g. part-of (CellNucleus, Cell) Open questions: What is the meaning of mereotopological relations in Biology Class level reading of mereotopological relations, how to interpret ?

expresses ontological dependencies “each cell includes a cell nucleus” and / or “each cell nucleus is included in a cell” permits possible relations “a cell may include a cell nucleus” reject any assertion not sanctioned by a R(C1,C2 ) expression: “there is a cell nucleus which included in a protein molecule” R(C 1, C 2 ) expression, e.g. Includes(Cell, CellNucleus) Alternative, conflicting interpretations: Class level reading of mereotopological relations

Instance level: containee-of, includes: transitive, reflexive, antisymmetric containee-of(x,y)  includes(y,x) Class level: class A is a specific containee of class B: SC(A,B) = def  x: instance-of(x, A)   y: instance-of(y, B)  containee-of(y,x) class B is a specific includer of class A: SI(B,A) = def  y: instance-of(y, B)   x: instance-of(x, A)  includes(y,x) Instance and Class level reading of mereotopological relations (I)

SC(A,B) is not the inverse of SI(B,A) class A is an obligatory containee of class B OC(A,B)  def SI(B,A) class B is an obligatory includer of class A OI(B,A)  def SC(A,B) SC, SI, OC, OI: transitive, reflexive, antisymmetric SC and SI propagate via Is-A: if A is a specific containee (includer) of B, every subclass of A is a specific containee (includer) of B, too OC and OI do not propagate via Is-A: if A is an obligatory containee (includer) of B, not any subclass of A is an obligatory containee (includer) of B Instance and Class level reading of mereotopological relations (II)

Arg2 Arg1 CellNeur on AxonCell Mem brane Or gan Cell Nucle us HeartWa ter BloodInsu lin Electr on CellIs-A -1 OISI OI OCOIOCSIOCSI NeuronIs-AOISI AxonSC SI Cell Membrane SC OC OC SI OrganSI Is-A -1 SI Cell Nucleus SCOC SIOCSI HeartSI IS-ASI WaterOC SI BloodSI OCSIOCSI InsulinOC SI ElectronOC

Extended Taxonomies Express mereotopological hierarchies as taxonomies Purpose: Better performance in large knowledge bases Introduction of reificator nodes: real classes: Is-A(A,B SC ) = def SC(A,B) Is-A(A,B SI ) = def SI (A,B) “pseudo classes” (do not capture properties of all instances !): Is-A(A,B OC ) = def OC(A,B) Is-A(A,B OI ) = def OI (A,B) A must be terminal nodes

Cell Interphase Eukaryotic Cell Cell Nucleus Intracellular Membrane Water OC OI SC SI OC OI SC OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI W EN C I M Nuclear Membrane Extended Taxonomies OC OI SC SI O Organ

Cell Intracellular Membrane Water OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI W E C I Extended Taxonomies OC OI SC SI O Specific Containees of Cell Nucleus Cell Nucleus Nuclear Membrane Interphase Eukaryotic Cell Cell Nucleus Nuclear MembraneOrgan M N

Cell Intracellular Membrane Water OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI WC I M Extended Taxonomies OC OI SC SI Specific Includers of Cell Nucleus Interphase Eukaryotic Cell, Tissue, Organ, Blood, Organism (...) Interphase Eukaryotic Cell Cell Nucleus Nuclear MembraneOrgan NE O

Cell Intracellular Membrane Water OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI E C Extended Taxonomies OC OI SC SI O Obligatory Containees of Cell Nucleus Cell Nucleus Nuclear Membrane Intracellular Membrane Water Interphase Eukaryotic Cell Cell Nucleus Nuclear MembraneOrgan N W I M

Cell Intracellular Membrane Water OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI OC OI SC SI W I M Extended Taxonomies OC OI SC SI O Obligatory Includers of Cell Nucleus Interphase Eukaryotic Cell, Cell Interphase Eukaryotic Cell Cell Nucleus Organ C EN Nuclear Membrane

Conclusion Capturing mereotopological basics in biomedical ontologies: Two recommendations: Create consensus by conflating part-whole and locative relations to one base relation (containee-of / includes) Eliminate ambiguity by explicitly introducing class level relations with a precise semantics Using extended taxonomies: Improve reasoning in large knowledge bases To do: express other mereotopological relations (overlap, disconnectedness) in terms of class-level predicates