Journal of the American Society for Information Science
Formal Concept Analysis: Mathematical Foundations
Formal Concept Analysis: Mathematical Foundations
Highlights of the European INRECA Projects
ICCBR '01 Proceedings of the 4th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development
The biological integration system
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
Concept Data Analysis: Theory and Applications
Concept Data Analysis: Theory and Applications
Transparent access to multiple bioinformatics information sources
IBM Systems Journal - Deep computing for the life sciences
Querying a bioinformatic data sources registry with concept lattices
ICCS'05 Proceedings of the 13th international conference on Conceptual Structures: common Semantics for Sharing Knowledge
A Resourceomic Grid for bioinformatics
Future Generation Computer Systems
Building a disordered protein database: a case study in managing biological data
ADC '07 Proceedings of the eighteenth conference on Australasian database - Volume 63
Extending Attribute Dependencies for Lattice-Based Querying and Navigation
ICCS '08 Proceedings of the 16th international conference on Conceptual Structures: Knowledge Visualization and Reasoning
BioRegistry: automatic extraction of metadata for biological database retrieval and discovery
Proceedings of the 10th International Conference on Information Integration and Web-based Applications & Services
First elements on knowledge discovery guided by domain knowledge (KDDK)
CLA'06 Proceedings of the 4th international conference on Concept lattices and their applications
BioRegistry: Automatic extraction of metadata for biological database retrieval and discovery
International Journal of Metadata, Semantics and Ontologies
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One of the major challenges in the post genomic era consists in exploiting the vast amounts of biological data stored in the numerous heterogeneous biological databases distributed worldwide. Most research projects in bioinformatics start with data retrieval from selected sources. However, identifying appropriate data sources is not trivial and requires the representation of the knowledge about data sources. We present here the BioRegistry project which aims at providing means to represent and exploit knowledge associated with biological databases. As a first step, a repository structure has been designed to organise metadata associated with databases consisting of five metadata categories: database identification, topics covered, quality information, access/availability, and tracking of the metadata. The BioRegistry model and its relationships with the DCMI (Dublin Core Metadata Initiative) are described. Prototypes with various functionalities to feed, maintain and exploit the repository are presented.