{"id":443,"date":"2021-11-02T11:33:41","date_gmt":"2021-11-02T11:33:41","guid":{"rendered":"https:\/\/loopcntr.net\/keplair\/?page_id=443"},"modified":"2022-05-05T06:28:37","modified_gmt":"2022-05-05T06:28:37","slug":"how-edit","status":"publish","type":"page","link":"https:\/\/loopcntr.net\/keplair\/how-edit\/","title":{"rendered":"How"},"content":{"rendered":"\n

What is KEPLAIR made up of?<\/h2>\n\n\n\n
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KEPLAIR concepts are stored in an overall ontology<\/h4>\n\n\n\n

All the useful concepts<\/strong> are collected in an ontology, which defines also attributes and establishes relationships among the concepts. Thanks to this formalization, the reasoning function becomes possible.<\/strong><\/p>\n<\/div><\/div>\n\n\n\n

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KEPLAIR data must be stored in a graph database<\/h4>\n\n\n\n

Thanks to their navigability and speed, graph database often suit very well for storing large amount of data. They become very useful especially when combined with formally<\/strong> ontologies. The union of these two two approaches produces an overall value which is greater the sum of the two.<\/strong><\/p>\n<\/div><\/div>\n\n\n\n

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Ontologies and databases can be handled by GraphBRAIN<\/h4>\n\n\n\n

GraphBRAIN<\/strong> is a general-purpose system aimed at supporting all stages and tasks in the lifecycle of a knowledge base, also providing an online tool for interactive exploitation of its functionalities. Its main peculiarity is the mix of an ontology-based approach with a graph database, so as to take advantage of both the efficiency of the latter and the flexibility and power of the former for storing and handling knowledge.<\/strong><\/p>\n<\/div><\/div>\n\n\n\n

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KEPLAIR is supported by a variegated team<\/h4>\n\n\n\n

Different roles and responsibilities are present in KEPLAIR: educators, computer scientist, web designers and managers from different parts of the world, collaborating voluntary for a tool which wants to realize the dream of many learners and educators.<\/strong> <\/strong><\/p>\n<\/div><\/div>\n","protected":false},"excerpt":{"rendered":"

What is KEPLAIR made up of? KEPLAIR concepts are stored in an overall ontology All the useful concepts are collected in an ontology, which defines also attributes and establishes relationships among the concepts. Thanks to this formalization, the reasoning function becomes possible. KEPLAIR data must be stored in a graph database Thanks to their navigability… Continue reading How<\/span><\/a><\/p>\n","protected":false},"author":7,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-443","page","type-page","status-publish","hentry","entry"],"_links":{"self":[{"href":"https:\/\/loopcntr.net\/keplair\/wp-json\/wp\/v2\/pages\/443","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/loopcntr.net\/keplair\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/loopcntr.net\/keplair\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/loopcntr.net\/keplair\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"https:\/\/loopcntr.net\/keplair\/wp-json\/wp\/v2\/comments?post=443"}],"version-history":[{"count":8,"href":"https:\/\/loopcntr.net\/keplair\/wp-json\/wp\/v2\/pages\/443\/revisions"}],"predecessor-version":[{"id":756,"href":"https:\/\/loopcntr.net\/keplair\/wp-json\/wp\/v2\/pages\/443\/revisions\/756"}],"wp:attachment":[{"href":"https:\/\/loopcntr.net\/keplair\/wp-json\/wp\/v2\/media?parent=443"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}