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  • Ability to derive relations (entity relationship types) in a variety of forms. For instance, using mapping rules (via standards such as W3C's R2RML) to inform transformation of relations represented as Tables in a SQL RDBMS into fine-grained RDF sentence/statement (depictable and queryable as entity relationship grpahs). Likewise, the use of SPARQL (a W3C open standard) to extend SQL (an ANSI open standar). This form of dynamnic relations mapping enables use of existing ODBC, JDBC, ADO.NET, OLE DB, and XMLA compliant applications to exploit powerful a Semantic Web of Linked Data (public and/or private), without ripping and replacing legacy systems.
  • Ability to derive relations (entity relationship types) in a variety of forms. For instance, using mapping rules (via standards such as W3C's R2RML) to inform transformation of relations represented as Tables in a SQL RDBMS into fine-grained RDF sentence/statement (depictable and queryable as entity relationship grpahs). Likewise, the use of SPARQL (a W3C open standard) to extend SQL (an ANSI open standar). This form of dynamnic relations mapping enables use of existing ODBC, JDBC, ADO.NET, OLE DB, and XMLA compliant applications to exploit powerful a Semantic Web of Linked Data (public and/or private), without ripping and replacing legacy systems.
  • Ability to derive relations (entity relationship types) in a variety of forms. For instance, using mapping rules (via standards such as W3C's R2RML) to inform transformation of relations represented as Tables in a SQL RDBMS into fine-grained RDF sentence/statement (depictable and queryable as entity relationship grpahs). Likewise, the use of SPARQL (a W3C open standard) to extend SQL (an ANSI open standar). This form of dynamnic relations mapping enables use of existing ODBC, JDBC, ADO.NET, OLE DB, and XMLA compliant applications to exploit powerful a Semantic Web of Linked Data (public and/or private), without ripping and replacing legacy systems.
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  • Enhanced Relational Mapping
  • Enhanced Relational Mapping
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