A translation approach to portable ontology specifications
Knowledge Acquisition - Special issue: Current issues in knowledge modeling
Data integration: a theoretical perspective
Proceedings of the twenty-first ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Integrating life sciences data-with a little Garlic
BIBE '00 Proceedings of the 1st IEEE International Symposium on Bioinformatics and Biomedical Engineering
K2/Kleisli and GUS: experiments in integrated access to genomic data sources
IBM Systems Journal - Deep computing for the life sciences
Integration of biological sources: current systems and challenges ahead
ACM SIGMOD Record
Ontologies and semantics for seamless connectivity
ACM SIGMOD Record
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Despite the dramatic growth of online genomic data, their understanding is still in early stage. To have meaningful interpretation, it requires the integration of various types of data that are relevant, such as gene sequence, protein interaction and metabolic pathway. Gene Ontology, an ontology proposed by molecular biologist community, is a possible tool to help address some of the difficulties in such integration. In this paper, we exam the formality of Gene Ontology, and study the possibilities and potential problems in applying Gene Ontology to both structured (such as database) and semi-structured (such as the publications in the literature) data integration for online genomic information.