Authors
Barry Smith
State University of New York, Buffalo
Abstract
Ontology is one strategy for promoting interoperability of heterogeneous data through consistent tagging. An ontology is a controlled structured vocabulary consisting of general terms (such as “cell” or “image” or “tissue” or “microscope”) that form the basis for such tagging. These terms are designed to represent the types of entities in the domain of reality that the ontology has been devised to capture; the terms are provided with logical defi nitions thereby also supporting reasoning over the tagged data. Aim: This paper provides a survey of the biomedical imaging ontologies that have been developed thus far. It outlines the challenges, particularly faced by ontologies in the fields of histopathological imaging and image analysis, and suggests a strategy for addressing these challenges in the example domain of quantitative histopathology imaging. The ultimate goal is to support the multiscale understanding of disease that comes from using interoperable ontologies to integrate imaging data with clinical and genomics data.
Keywords biomedical imaging  image ontology  interoperability  diagnosis  pathology
Categories (categorize this paper)
Options
Edit this record
Mark as duplicate
Export citation
Find it on Scholar
Request removal from index
Revision history

Download options

PhilArchive copy

 PhilArchive page | Other versions
External links

Setup an account with your affiliations in order to access resources via your University's proxy server
Configure custom proxy (use this if your affiliation does not provide a proxy)
Through your library

References found in this work BETA

View all 6 references / Add more references

Citations of this work BETA

Add more citations

Similar books and articles

Putting Biomedical Ontologies to Work.Barry Smith & Mathias Brochhausen - 2010 - Methods of Information in Medicine 49 (2):135-40.
Finding the Meaning in Images: Annotation and Image Markup.Daniel L. Rubin - 2011 - Philosophy, Psychiatry, and Psychology 18 (4):311-318.
Ontology for the Intelligence Analyst.Barry Smith - 2012 - CrossTalk 14 (Nov/Dec):18-25.
A Realism-Based Approach to the Evolution of Biomedical Ontologies.Barry Smith - 2006 - In Proceedings of the Annual AMIA Symposium. Washington, DC: American Medical Informatics Association. pp. 121-125.
Ontologies of Cellular Networks. Arp - 2008 - Science Signalling 1 (50):1-3.

Analytics

Added to PP index
2015-06-29

Total views
439 ( #14,896 of 2,362,027 )

Recent downloads (6 months)
38 ( #19,416 of 2,362,027 )

How can I increase my downloads?

Downloads

My notes