Background: Ontologies are increasingly used to structure and semantically describe entities of domains, such as genes and proteins in life sciences. Their increasing size and the high frequency of updates resulting in a large set of ontology versions necessitates efficient management and analysis of this data. Results: We present GOMMA, a generic infrastructure for managing and analyzing life science ontologies and their evolution. GOMMA utilizes a generic repository to uniformly and efficiently manage ontology versions and different kinds of mappings. Furthermore, it provides components for ontology matching, and determining evolutionary ontology changes. These components are used by analysis tools, such as the Ontology Evolution Explorer (OnEX) and the detection of unstable ontology regions. We introduce the component-based infrastructure and show analysis results for selected components and life science applications. GOMMA is available at http:// dbs.uni-leipzig.de/GOMMA.
GOMMA REF provides infrastructure for managing matching and evolution of ontologies and its impact on mappings.
GOMMA: a component-based infrastructure for managing and analyzing life science ontologies and their evolution
Journal of Biomedical Semantics
Journal of Biomedical Semantics
Computer Science Medicine