Abstract: A method for representing RDF data in a database provides a new RDF data type built on top of a network data model (NDM), where a network or graph captures relationships between objects using connectivity. This exposes the NDM functionality to RDF data, allowing RDF data to be managed as objects and analyzed as networks. In this network, the subject and objects of triples are mapped to nodes, and the predicates are mapped to links that have subject start-nodes and object end-nodes. A link, therefore, represents a complete RDF triple. The nodes are stored only once, regardless of the number of times they participate in triples. But a new link is created whenever a new triple is inserted. A streamlined approach to representing reified RDF data is also provided for faster retrievals. An RDF object type and reification in the database thus provide a basic infrastructure for effective metadata management.

Abstract: A method for representing RDF data in a database provides a new RDF data type built on top of a network data model (NDM), where a network or graph captures relationships between objects using connectivity. This exposes the NDM functionality to RDF data, allowing RDF data to be managed as objects and analyzed as networks. In this network, the subject and objects of triples are mapped to nodes, and the predicates are mapped to links that have subject start-nodes and object end-nodes. A link, therefore, represents a complete RDF triple. The nodes are stored only once, regardless of the number of times they participate in triples. But a new link is created whenever a new triple is inserted. A streamlined approach to representing reified RDF data is also provided for faster retrievals. An RDF object type and reification in the database thus provide a basic infrastructure for effective metadata management.