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" ... This can be described as the “ontology problem.” Ontology, the definition of the graph structure, is like a database schema that describes all your key concepts and relationships. A bad ontology definition will make putting your data into the graph very difficult, and a bad ontology definition can also make accessing your data very painful. Solving the ontology problem usually requires a small group of trained ontologists, taxonomists or information scientists. In other words, one needs a centralized group to define and maintain the quality of the knowledge graph structure. This centralization has usually meant the end of the knowledge graph. In this case, the enterprise -- unless its business is the knowledge graph, like Google or Microsoft -- will see centralization as a critical point of failure and the specific skill set needed as a risk. What usually happens is the knowledge graph is created, but after some time, it doesn’t get maintained and ceases to be used and exist. ... "
" ... This is actually part of the toolbox of techniques that ontologists use to do an analysis of multiple ontologies imported from different sources. This process (called harmonization) attempts to find the commonalities between different databases to see if such a natural ontology will emerge natively or not. ... "