PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Data Integration and Opportunities in Biological XML Data Management
M. Mesiti, E.J. Ruiz, I. Sanz, R. Berlanga, Giorgio Valentini, P. Perlasca and D. Manset
In: Open and Novel Issues in XML Database Applications: Future Directions and Advanced Technologies (2009) Information Science , pp. 263-286.

Abstract

There is a proliferation of research and industrial organizations that produce sources of huge amounts of biological data issuing from experimentation with biological systems. In order to make these het- erogeneous data sources easy to use, several efforts at data integration are currently being undertaken based mainly on XML. Starting from a discussion of the main biological data types and system interactions that need to be represented, the authors discuss the main approaches proposed for their modelling through XML. Then, they show the current efforts in biological data integration and how an increasing amount of Semantic information is required in terms of vocabulary control and ontologies. Finally, future research directions in biological data integration are discussed.

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EPrint Type:Book Section
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
Multimodal Integration
ID Code:6564
Deposited By:Giorgio Valentini
Deposited On:08 March 2010