Graph Databases Lifecycle Methodology  and Tool, RDF building, indexing and versioning 
                        
                            
	Graph databases are taking place in many different applications: smart city, smart cloud, smart education, etc. In most cases, the applications imply the creation of ontologies and the integration of a large set of knowledge to build a knowledge base as an RDF KB store, with ontologies, static data, historical data and real time data.                        
                        
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