The analysis of data metamodels’ extensional layer via extended generalized graph

Abstract There are several limitations known in data modeling discipline, which related directly to the traditionally used languages expressiveness. The strong of expressiveness existing well modelling combined with lack a very general universal language have negative impact naturalness. As result mentioned limits reality must be transformed avoid (workaround) introduced by language. In turn, transformation process requires extra effort. problem is strengthened mechanisms, can measure particular Some from both their metamodel (abstract syntax) and model (metamodel instance) graph-like structure constraints. This kind also has domain-specific paper addresses all problems above. solved help EGG paper. First, customizable together customization mechanisms (extensions generalizations) introduced. According first usage scenario may applied for tasks place other languages. Second, proposes applies (for some languages: RDF, XML, RDBM, UML AOM) novel concept measuring comparing via mapping metamodels metamodel. So, according second as reference comparative studies. It support decision when chosen task. Third, helps transforming needs resulting enough domain Complete abstract syntax Extended Generalized Graph expressed through its implementations terms Association-Oriented Metamodel Unified Modeling Language. Semantics each syntactical category described. Two complete concrete syntaxes case studies social network knowledge illustrate applicability usefulness EGG. compared metamodels. study models created different then summarized quantitatively form proposed measure.