Paper Info
Title
A multilingual ontology for infectious disease surveillance: rationale, design and challenges
Abstract
A lack of surveillance system infrastructure in the Asia-Pacific region is seen as hindering the global control of rapidly spreading infectious diseases such as the recent avian H5N1 epidemic. As part of improving surveillance in the region, the BioCaster project aims to develop a system based on text mining for automatically monitoring Internet news and other online sources in several regional languages. At the heart of the system is an application ontology which serves the dual purpose of enabling advanced searches on the mined facts and of allowing the system to make intelligent inferences for assessing the priority of events. However, it became clear early on in the project that existing classification schemes did not have the necessary language coverage or semantic specificity for our needs. In this article we present an overview of our needs and explore in detail the rationale and methods for developing a new conceptual structure and multilingual terminological resource that focusses on priority pathogens and the diseases they cause. The ontology is made freely available as an online database and downloadable OWL file.
Year
DOI
Venue
2006
10.1007/s10579-007-9019-7
Language Resources and Evaluation
Keywords
Field
DocType
Infectious disease surveillance,Multilingual ontology,Text mining
Data science,Ontology,Online database,Computer science,Natural language processing,Artificial intelligence,Knowledge base,The Internet,Conceptual structure,World Wide Web,Computational linguistics,Classification scheme,Infectious disease (medical specialty)
Journal
Volume
Issue
ISSN
40
3-4
1574-020X
Citations 
PageRank 
References 
19
1.75
8
Authors
8
Name
Order
Citations
PageRank
Nigel Collier1116496.59
Ai Kawazoe223528.73
Lihua Jin3729.49
Mika Shigematsu415016.40
Dinh Dien515216.50
Roberto Barrero6356.49
Koichi Takeuchi730627.64
asanee kawtrakul816125.90