Data Integration Issues and Opportunities in Biological XML Data Management
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 heterogeneous 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 deal with 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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BackgroundSelf-citation
- Authors
- Mesiti, M., Ruiz, E. J., Sanz, I., Llavori, R. B., Valentini, G., Perlasca, P., & Manset, D.
- Affiliations
- University of Milan (IT)
- DLSI, Universitat Jaume I, Spain
- Universitat Jaume I (ES)
- maatG, France
- Venue
- Open and Novel Issues in XML Database Applications
- Publisher
- IGI Global
- Published
- 2010-05-20
- Pages
- 263-286
- OpenAlex
- W1906884313
- Cited by
- 4
- References
- 41
- Citations by year
- 2023: 1
- FWCI
- 0.56
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- IGI Global eBooks (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Semantic Web and Ontologies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Biomedical Text Mining and Ontologies
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Keywords
- biological data integration, XML data management, heterogeneous data sources, controlled vocabulary, ontology (information science), semantic information
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