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Specifying Knowledge Graph with Data Graph, Information Graph, Knowledge Graph, and Wisdom Graph
International Journal of Software Innovation, 2018Knowledge graphs have been widely adopted, in large part owing to their schema-less nature. It enables knowledge graphs to grow seamlessly and allows for new relationships and entities as needed. A knowledge graph is a graph constructed by representing each item, entity and user as nodes, and linking those nodes that interact with each other via edges.
Yucong Duan, Lixu Shao, Gongzhu Hu
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2017 IEEE 15th International Conference on Software Engineering Research, Management and Applications (SERA), 2017
Knowledge graphs have been widely adopted, in large part owing to their schema-less nature. It enables knowledge graphs to grow seamlessly and allows for new relationships and entities as needed. Knowledge graph has become a powerful tool to represent knowledge in the form of a labelled directed graph and to give semantics to textual information.
Yucong Duan +5 more
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Knowledge graphs have been widely adopted, in large part owing to their schema-less nature. It enables knowledge graphs to grow seamlessly and allows for new relationships and entities as needed. Knowledge graph has become a powerful tool to represent knowledge in the form of a labelled directed graph and to give semantics to textual information.
Yucong Duan +5 more
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IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, 2019
Many practical applications have observed knowledge evolution, i.e., continuous born of new knowledge, with its formation influenced by the structure of historical knowledge. This observation gives rise to evolving knowledge graphs whose structure temporally grows over time. However, both the modal characterization and the algorithmic implementation of
Jiaqi Liu 0002 +4 more
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Many practical applications have observed knowledge evolution, i.e., continuous born of new knowledge, with its formation influenced by the structure of historical knowledge. This observation gives rise to evolving knowledge graphs whose structure temporally grows over time. However, both the modal characterization and the algorithmic implementation of
Jiaqi Liu 0002 +4 more
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A retrospective of knowledge graphs
Frontiers of Computer Science, 2016Information on the Internet is fragmented and presented in different data sources, which makes automatic knowledge harvesting and understanding formidable for machines, and even for humans. Knowledge graphs have become prevalent in both of industry and academic circles these years, to be one of the most efficient and effective knowledge integration ...
Jihong Yan +4 more
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On the ontology of knowledge graphs
1995Knowledge graphs are a special kind of conceptual graphs. They were developed independently from 1982 on and are special in that a very restricted set of types of relationships is used. In this paper the ontology of knowledge graphs and the philosophy behind its choice are discussed.
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Meta Structures in Knowledge Graphs
2017This paper investigates meta structures, schema-level graphs that abstract connectivity information among a set of entities in a knowledge graph. Meta structures are useful in a variety of knowledge discovery tasks ranging from relatedness explanation to data retrieval.
Fionda, Valeria, PIRRO', GIUSEPPE
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Subsumption in knowledge graphs
2005An important notion for representation formalisms of natural language semantics, is a subsumption hierarchy. Therefore a precise definition of subsumption is necessary. We shall argue that the usual solution of providing an extensional semantics and mapping subsumption onto set-inclusion, is not satisfactory.
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Proceedings of the 5th ACM SIGMOD Joint International Workshop on Graph Data Management Experiences & Systems (GRADES) and Network Data Analytics (NDA), 2022
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