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Semantic Enhancement: [[Distributed Development of a Shared Semantic Resource]] | Semantic Enhancement for DSGS-A: [[Distributed Development of a Shared Semantic Resource]] | ||
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Revision as of 16:30, 14 August 2013
The goal of the National Center for Ontological Research is to advance ontological investigation within the United States. NCOR serves as a vehicle to coordinate, to enhance, to publicize, and to seek funding for ontological research activities. It lays a special focus on ontology training and on the establishment of tools and measures for quality assurance of ontologies. NCOR provides ontology services to multiple organizations, including the US Department of Defense.
Events
Barry Smith: How to Advance Reusability of Immunology Data
- July 23, 2013
- 16:00-18:00
- 141 Park Hall, UB North Campus
Instructions for on-line access
https://lync.buffalo.edu/meet/phismith/Z437AOSB
Instructions for dial-in access
Please skype Alan Ruttenberg if you want to join online
Abstract
Describing (tagging) data using shared public domain, consensus-based, well-structured ontologies promotes reusability. There are two legs to be connected:
- experimental data, for example of the sort currently found here
- ontology resources, for example as listed here
How to make the connection?
- 1. identify ways that submitters of data can benefit early on through use of ontologies
- 2. identify ways to annotate data using ontologies post-submission
I will discuss the pros and cons of each.
Past Events
Studying Ontology in Buffalo
News
Advantages of the Financial Report Ontology in Accounting Research
UB Ontologists Win Bioinformatics Integration Award to Support National Institutes of Health
Announcing Clinical and Translational Science Ontology Affinity Group
Information Overload in the Era of Big Data
Botanists building ontologies to cope with information overload
UB Applied Informatics Portal unveiled.
Tutorials and Courses
How to Develop and Use OBO Foundry Ontologies, Tutorial and Workshop at ICBO, Graz, Austria, July 21, 2012
Basic Formal Ontology 2.0: Tutorial at ICBO/FOIS, Graz, Austria, July 25, 2012
Introduction to Protégé, Tutorial, Buffalo, NY, August 11-12, 2012
Basic Formal Ontology 2.0, Tutorial, Buffalo, NY, August 18-19, 2012
Problems in Ontology, Class, Buffalo, NY, Mondays from 4-6pm, August 29 - December 5, 2012
Ontological Engineering, Class, Department of Industrial and Systems Engineering, University at Buffalo, NY, Mondays from 4-7pm, August 26 - December 2, 2013
Defining Ontology
An ontology is a representation of some part of reality, (e.g. medicine, social reality, physics, etc.). Smith states that: “Ontology is the science of what is, of the kinds and structures of objects, properties, events, processes and relations in every area of reality…Ontology seeks to provide a definitive and exhaustive classification of entities in all spheres of being.”1 To be an accurate representation of reality an ontology includes the types of entities and events in a given domain (along with their definitions) arranged in a hierarchical structure, along with relations (such as part-of, depends-on, caused-by, etc. where necessary). Ontologies enable the formulation of robust and shareable descriptions of a given domain by providing a common controlled vocabulary for doctrine writers, IT Developers, and war-fighters alike, thereby allowing these disparate communities to communicate with each other. An ontology should be a shared resource between communities, and its continued collaborative development should support the integration of information and facilitate knowledge discovery.2 These two goals are realized by ensuring wide dissemination of the ontology, so that it will be used by many stakeholders, and its terms will be correspondingly familiar and readily used for search.
Documents
Semantic Enhancement for DSGS-A: Distributed Development of a Shared Semantic Resource
Suggested Reading
Coordinated Evolution of Biomedical Ontologies
Avoiding Perspective-Relative Silos
Ontology Videos by William Mandrick
A Repeatable Process for Ontology Development
Avoiding Semantic Stovepipes: Five Ontological Principles for Interoperability
