1 Introduction to (Geo)Ontology Barry Smith

Slides:



Advertisements
Similar presentations
1 Five Steps to Interoperability (in the domain of scientific ontology) Barry Smith.
Advertisements

Upper Ontology Summit Tuesday March 14 The BFO perspective Barry Smith Department of Philosophy, University at Buffalo National Center.
1 Towards a Reference Terminology for Talking about Ontologies and Related Artifacts Barry Smith with thanks to Werner.
Species-Neutral vs. Multi-Species Ontologies Barry Smith.
So What Does it All Mean? Geospatial Semantics and Ontologies Dr Kristin Stock.
A view of life Chapter 1. Properties of Life Living organisms: – are composed of cells – are complex and ordered – respond to their environment – can.
The Environment Ontology Barry Smith 1.
Biology as a Science.
Who am I Gianluca Correndo PhD student (end of PhD) Work in the group of medical informatics (Paolo Terenziani) PhD thesis on contextualization techniques.
Wrap up  Matching  Geometry  Semantics  Multiscale modelling / incremental update / generalization  Geometric algorithms  Web Services.
Historical Introduction to Ontologies Barry Smith.
1 Doing Ontology Over Images Barry Smith. What ontologies are for.
1 Introduction to Ontology: Terminology Barry Smith with thanks to Werner Ceusters, Waclaw Kusnierczyk, Daniel Schober.
1 Intelligence Ontology: A Strategy for the Future Barry Smith University at Buffalo
Gene Ontology Luis Tari. Gene Ontology (GO) URL: Gene Ontology is A hierarchy of roles of genes.
What is an ontology and Why should you care? Barry Smith with thanks to Jane Lomax, Gene Ontology Consortium 1.
Computational Molecular Biology (Spring’03) Chitta Baral Professor of Computer Science & Engg.
SCB : 1 Department of Computer Science Simulation and Complexity SCB : Simulating Complex Biosystems Susan Stepney Department of Computer Science Leo Caves.
Use of Ontologies in the Life Sciences: BioPax Graciela Gonzalez, PhD (some slides adapted from presentations available at
How can Computer Science contribute to Research Publishing?
1 Introduction to Ontology Barry Smith
Pathways and Networks for Realists Barry Smith 1.
Room for Lunch: Arlington Room Room for Evening Reception: Grand Prairie Room.
1 Ontologie als konkretisierte Darstellung der Wirklichkeit Barry Smith.
New York State Center of Excellence in Bioinformatics & Life Sciences Biomedical Ontology in Buffalo Part I: The Gene Ontology Barry Smith and Werner Ceusters.
1 Why computer science needs philosophy Barry Smith National Center for Ontological Research.
Module 2b: Modeling Information Objects and Relationships IMT530: Organization of Information Resources Winter, 2007 Michael Crandall.
1 Ontology (Science) Barry Smith University at Buffalo
Analysis of GO annotation at cluster level by H. Bjørn Nielsen Slides from Agnieszka S. Juncker.
Why, in the future, all sciences will be computer sciences Barry Smith.
Gene Ontology and Functional Enrichment Genome 559: Introduction to Statistical and Computational Genomics Elhanan Borenstein.
Ontological realism as a strategy for integrating ontologies Ontology Summit February 7, 2013 Barry Smith 1.
Intelligence Ontology A Strategy for the Future Barry Smith University at Buffalo
1 Introduction(1/2)  Eukaryotic cells can synthesize up to 10,000 different kinds of proteins  The correct transport of a protein to its final destination.
Taken from Schulze-Kremer Steffen Ontologies - What, why and how? Cartic Ramakrishnan LSDIS lab University of Georgia.
University of Michigan Medical School 1 Towards a Semantic Web application: Ontology-driven ortholog clustering analysis Yu Lin, Zuoshuang Xiang, Yongqun.
1 Ontology (Science) vs. Ontology (Engineering) Barry Smith University at Buffalo
Sharing Ontologies in the Biomedical Domain Alexa T. McCray National Library of Medicine National Institutes of Health Department of Health & Human Services.
How to integrate data Barry Smith. The problem: many, many silos DoD spends more than $6B annually developing a portfolio of more than 2,000 business.
2 3 where in the body ? where in the cell ?
Ontology and the Semantic Web Barry Smith August 26,
Mining the Biomedical Research Literature Ken Baclawski.
Lawrence Hunter, Ph.D. Director, Computational Bioscience Program University of Colorado School of Medicine
Mental Functioning Ontology and the ICF Barry Smith October 1, 2012.
1 An Introduction to Ontology for Scientists Barry Smith University at Buffalo
1 How to build an ontology Barry Smith
1 Ontology (Science) vs. Ontology (Engineering) Barry Smith University at Buffalo
Life Science. Explain that cells are the basic unit of structures and function of living organisms. Cells are the basic unit of structures of living organisms.
Big Data that might benefit from ontology technology, but why this usually fails Barry Smith National Center for Ontological Research 1.
Instance Discovery and Schema Matching With Applications to Biological Deep Web Data Integration Tantan Liu, Fan Wang, Gagan Agrawal {liut, wangfa,
Overview  Introduction  Biological network data  Text mining  Gene Ontology  Expression data basics  Expression, text mining, and GO  Modules and.
Figure 14-1 Molecular Biology of the Cell (© Garland Science 2008)
1 Standards and Ontology Barry Smith
Knowledge Representation Part I Ontology Jan Pettersen Nytun Knowledge Representation Part I, JPN, UiA1.
Ontology: A Guide for the Intelligence Analyst
Knowledge Representation Part I Ontology
Fundamentals of Information Sensing, Transmission, and Processing at the Molecular Level in Biological Systems.
Ontology.
Biologists’ Tools and Technology Notes
Overview Gene Ontology Introduction Biological network data
Topological Ordering Algorithm: Example
What is “Biomedical Informatics”?
What is “Biomedical Informatics”?
Unit 1 Vocabulary Science Skills.
Topological Ordering Algorithm: Example
Topological Ordering Algorithm: Example
Social Practice of the language: Describe and share information
Topological Ordering Algorithm: Example
Chapter 1-4: Scientific Models & Knowledge
Presentation transcript:

1 Introduction to (Geo)Ontology Barry Smith

2

3 natural language labels to make the data cognitively accessible to human beings and algorithmically tractable to computers

4 compare: legends for maps

5 common legends allow (cross-border) integration

6 ontologies are legends for data

7 compare: legends for diagrams

8 legends help human beings use and understand complex representations of reality help human beings create useful complex representations of reality help computers process complex representations of reality

9 computationally tractable legends help human beings find things in very large complex representations of reality

10 maps may be correct by reflecting topology, rather than geometry

11 two kinds of annotations

12 names of types

13 names of instances

14 First basic distinction type vs. instance (science text vs. diary) (human being vs. Tom Cruise)

15 Ontology types Instances

16 Ontology = A Representation of Types

17 An ontology is a representation of types We learn about types in reality from looking at the results of scientific experiments in the form of scientific theories experiments relate to what is particular science describes what is general

18 where in the body ? where in the cell ? what kind of organism ? what kind of disease process ?

19 to yield: distributed accessibility of the data to humans reasoning with the data cumulation for purposes of research incrementality and evolvability integration with clinical data Creating broad-coverage semantic annotation systems for biomedicine

20 The Gene Ontology

21

22

23 The Idea of Common Controlled Vocabularies MouseEcotope GlyProt DiabetInGene GluChem sphingolipid transporter activity

24 The Idea of Common Controlled Vocabularies MouseEcotope GlyProt DiabetInGene GluChem Holliday junction helicase complex

25 what cellular component? what molecular function? what biological process?

26 Michael Ashburner

GEO.OBO biological samples populations, epidemics speciation, evolutionary processes in space and time museum artifacts 27