Title
S3DB core: a framework for RDF generation and management in bioinformatics infrastructures.
Abstract
BACKGROUND: Biomedical research is set to greatly benefit from the use of semantic web technologies in the design of computational infrastructure. However, beyond well defined research initiatives, substantial issues of data heterogeneity, source distribution, and privacy currently stand in the way towards the personalization of Medicine. RESULTS: A computational framework for bioinformatic infrastructure was designed to deal with the heterogeneous data sources and the sensitive mixture of public and private data that characterizes the biomedical domain. This framework consists of a logical model build with semantic web tools, coupled with a Markov process that propagates user operator states. An accompanying open source prototype was developed to meet a series of applications that range from collaborative multi-institution data acquisition efforts to data analysis applications that need to quickly traverse complex data structures. This report describes the two abstractions underlying the S3DB-based infrastructure, logical and numerical, and discusses its generality beyond the immediate confines of existing implementations. CONCLUSIONS: The emergence of the "web as a computer" requires a formal model for the different functionalities involved in reading and writing to it. The S3DB core model proposed was found to address the design criteria of biomedical computational infrastructure, such as those supporting large scale multi-investigator research, clinical trials, and molecular epidemiology.
Year
DOI
Venue
2010
10.1186/1471-2105-11-387
BMC Bioinformatics
Keywords
Field
DocType
bioinformatics,algorithms,molecular epidemiology,complex data,data acquisition,computational biology,model building,semantic web,markov process,microarrays,data analysis,markov chains,clinical trial,internet
Data science,Computer science,Data heterogeneity,Semantic Web,Finite-state machine,Core model,Bioinformatics,RDF,Personalization,The Internet
Journal
Volume
Issue
ISSN
11
1
1471-2105
Citations 
PageRank 
References 
9
0.65
5
Authors
3
Name
Order
Citations
PageRank
Jonas S Almeida173142.25
Helena F. Deus221013.23
Wolfgang Maass3193.89