The RDF data model is a W3C standard for storage of information in the form of self-descriptive Subject, Predicate and Object triples that can be linked in an RDF-graph 2, 3. Semantic Web technologies provide information retrieval and management systems to integrate heterogeneous data from disparate sources 1. GBOL uses and extends current ontologies to provide a formal representation of genomic entities, along with their properties, relations and provenance. As an illustration of the potential of Empusa, we present the Genome Biology Ontology Language (GBOL). Using Empusa consistency is ensured within and between the ontology and the content of the resource. Empusa can convert a schema into an associated application programming interface (API), that can be used to perform data consistency checks and generates Markdown documentation to make persistent URLs resolvable. The Empusa code generator facilitates creation of composite RDF resources from disparate sources. Thus, there is a need for a gate keeping system that compares the intended content described in the ontology with the actual content of the resource. However, addition of new diverse data causes the ontology to evolve, which could lead to accumulation of unintended erroneous composites. To obtain a coherent RDF graph the chosen ontology must be consistently applied. The RDF data model facilitates integration of diverse data available in structured and semi-structured formats.
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