DocumentCode :
3232514
Title :
Disease ontology based grid middleware for human disease research study
Author :
Hadzic, Maja ; Chang, Elizabeth ; Wongthongtham, Pronpit ; Meersman, Robert
Author_Institution :
Sch. of Inf. syst., Curtin Univ. of Technol., Perth, WA, Australia
Volume :
1
fYear :
2004
fDate :
2-6 Nov. 2004
Firstpage :
480
Abstract :
This paper describes disease ontology based grid middleware which acts like an intelligent search engine, receiving requests from customers and finding services or service providers for them. We note that currently no such work has been done or successfully implemented. We propose the use of grid middleware for information exchange as it is able to access unstructured petabyte information on the Web and pull the right information for the user. Before it can do this, it obtained the knowledge from ontologies such as medical issues, health matters, disease factors, DNA etc and knows who is doing a particular research, what work has been done and which research group have the most up-to-date results, which database in the Web is needed, what is in it, what is the value of the information in that database, where it fits into the specific disease knowledge and how to access it, whose work relates to each others, overlapping with or complements each others etc. It helps search, translate, categorize, index (through ontology and agents), download and upload the exact disease information that the end-user requires.
Keywords :
DNA; grid computing; information retrieval; medical information systems; middleware; ontologies (artificial intelligence); search engines; DNA; Web database; deoxyribonucleic acid; disease factors; disease ontology; grid middleware; human disease research; information exchange; intelligent search engine; medical issues; unstructured petabyte information; Collaboration; Databases; Diseases; Distributed computing; Grid computing; Humans; Information systems; Middleware; Ontologies; Semantic Web;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE
Print_ISBN :
0-7803-8730-9
Type :
conf
DOI :
10.1109/IECON.2004.1433356
Filename :
1433356
Link To Document :
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