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[bioontology-support] CFP: Special Issue on "Knowledge Engineering Methods and Applications in Pharmacovigilance" (Reminder)

Vassilis Koutkias vkoutkias at
Fri Apr 24 16:00:30 PDT 2015

[Apologies if you receive multiple copies of this message.]
*Call for Papers**
**Special Issue: "Knowledge Engineering Methods and Applications in 
**BioMed Research 
International*, (Impact factor: 2.706)

Drug safety is an important priority worldwide. Given the necessity to 
identify and track safety risks accurately and timely, the concurrent 
exploration of various types of data is necessary. Especially in 
postmarketing settings, these data span from spontaneous reports, 
electronic health records, the scientific literature, and even social 
media. The availability of this data deluge dictates the need to 
introduce high-throughput computational methods that will enable 
efficient knowledge extraction and management, compensating the 
underlying heterogeneity and complexity. Beyond discovery, knowledge 
representation, exploitation, and management are necessary for effective 
drug monitoring and surveillance. Knowledge engineering is the 
discipline that elaborates on the theories, methods, and tools for 
developing knowledge-intensive applications, and can largely contribute 
in the realization of the above objectives. Recently, and especially 
with the maturation of semantic web technologies and standards, various 
interesting applications and paradigms of knowledge engineering have 
been presented targeting the domain of pharmacovigilance.

Contributions to this Special Issue, either in the form of original 
research or in the form of review articles, may cover various aspects of 
knowledge engineering methods and applications in pharmacovigilance, 
illustrating the wide spectrum of potential in the domain. Major 
emphasis will be given to papers that illustrate the added value of 
knowledge engineering in the pharmacovigilance with scientific and 
tangible evidence.

Potential topics include, but are not limited to:
- Ontologies and knowledge bases targeting the domain of pharmacovigilance
- Semantic web and linked data applications and tools for pharmacovigilance
- Semantically-enriched big data analytics for drug safety risk 
monitoring and surveillance
- Knowledge-based systems for adverse drug event detection and prevention
- Natural language processing techniques driven by semantic technologies 
(e.g., applied in the literature and social media) in the domain of drug 
- Integrated, knowledge-intensive platforms for drug safety
- Successful cases of applying knowledge engineering approaches in drug 
safety applications
- Early discovery of unknown adverse drug reactions and drug interactions

Authors can submit their manuscripts via the Manuscript Tracking System 

Manuscript Due:*Friday, 12 June 2015*
First Round of Reviews: Friday, 4 September 2015
Publication Date: Friday, 30 October 2015

Lead Guest Editor:
     Marie-Christine Jaulent, INSERM, Paris, France

Guest Editors:
     Guoqian Jiang, Mayo Clinic, Rochester, USA
     Vassilis Koutkias, Centre for Research & Technology Hellas, 
Thessaloniki, Greece
     Hans-Ulrich Prokosch, University of Erlangen-Nuremberg, Erlangen, 

CFP Online:
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