Adding semantics to genome databases: towards an ontology for molecular biology.
Molecular biology has a communication problem. There are many databases using their own labels and categories for storing data objects and some using identical labels and categories but with a different meaning. Conversely, one concept is often found under different names. Prominent examples are the concepts "gene" and "protein sequence" which are used with different semantics by major international genomic and protein databases thereby making database integration difficult and strenuous. This situation can only be improved by either defining individual semantic interfaces between each pair of databases (complexity of order n2) or by implementing one agreeable, transparent and computationally tractable semantic repository and linking each database to it (complexity of order n). Ontologies are one means to provide such semantic repository by explicitly specifying the meaning of and relation between the fundamental concepts in an application domain. Here, heuristics for building an ontology and the upper level and a database branch of a prospective Ontology for Molecular Biology are presented and compared to other ontologies with respect to suitability for molecular biology (http:/(/)igd.rz-berlin.mpg.de/www/oe/mbo.html).
Schulze-Kremer
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Max-Planck-Institute for Molecular Genetics, Berlin, Germany. steffen@chemie.fu-berlin.de
D019295:Computational Biology; D003195:Computer Communication Networks; D016208:Databases, Factual; D016678:Genome; D008967:Molecular Biology; D012660:Semantics