Towards evolutionary knowledge representation under the big data circumstance

Purpose The purpose of this paper is to propose a graph-based representation approach for evolutionary knowledge under the big data circumstance, aiming to gradually build conceptual models from data. Design/methodology/approach A semantic data model named meaning graph (MGraph) is introduced to rep...

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Vydáno v:	Electronic library Ročník 39; číslo 3; s. 392 - 410
Hlavní autoři:	Li, Xuhui, Liu, Liuyan, Wang, Xiaoguang, Li, Yiwen, Wu, Qingfeng, Qian, Tieyun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Emerald Publishing Limited 04.11.2021 Emerald Group Publishing Limited
Témata:	Big Data Cognition & reasoning Cognitive Structures Conceptual models Data models Discovery tools Electronic Libraries Engineering Evolution Graphical representations Graphs Knowledge Knowledge base Knowledge bases (artificial intelligence) Knowledge discovery Knowledge management Knowledge organization Knowledge representation Logical Thinking Networks Ontology Pattern Recognition Representation Researchers Resource Description Framework-RDF Schemas Semantic web Semantics Semiotics Software engineering Specialization Teaching Methods Video Technology Web Ontology Language-OWL Modeling Big data Knowledge representation
ISSN:	0264-0473, 1758-616X
On-line přístup:	Získat plný text
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