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action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /home3/aijournc/public_html/wp-includes/functions.php on line 6114Knowledge graphs \u2013 and their basic data structure ancestors, graphs \u2013 have taken center stage at enabling knowledge management systems as well as knowledge as a service<\/a> (KaaS). At their simplest, graphs are composed of entities (nodes) and relationships (edges). Schemas dictate what types of relationships (facts) can be attached to each entity type. And new fact types can be added \u201con the fly\u201d to accommodate the structuring of un or semi-structured data streams and changing fact types of interest (think, \u201cwild\u201d web data). <\/p>\n\n\n\n For many knowledge workers, the most common graph-centric form of data they see is literally a graph. That is, a visual graph representation. And the underlying graph structure is just one data source among many used by data teams or for machine learning. <\/p>\n\n\n\n