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ORC: An Ontology Reasoning Component for diabetes

Kafalı, Özgur, Sindlar, Michal, van der Weide, Tom, Stathis, Kostas (2013) ORC: An Ontology Reasoning Component for diabetes. In: Proceedings of the 2nd International Workshop on Artificial Intelligence and Netmedicine (NetMed). . p. 71. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:65899)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.

Abstract

ORC is an ontology reasoning component that builds upon existing ontology modelling

tools and techniques to support the integration and interpretation of multimodal

medical information. We show how to embed ORC as a reasoning capability

in reactive infrastructure agents that support intelligent agents operating

in COMMODITY12, a personal health environment for diabetic patients and the

medical professionals that treat them. The benefits of the approach are illustrated

by showing how medical information for patient profiles at different sources can be

included in COMMODITY12, thus extending the generality and potential of the resulting

system. The approach also illustrates how ontologies can be combined with

a variety of artificial intelligence tools and techniques to support e-Health activities

on the Internet, thus contributing towards the vision of NetMedicine.

Item Type: Conference or workshop item (Proceeding)
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Ozgur Kafali
Date Deposited: 04 Feb 2018 22:02 UTC
Last Modified: 05 Nov 2024 11:04 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/65899 (The current URI for this page, for reference purposes)

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