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Learning to Complete Knowledge Graphs with Deep Sequential Models
Authors: Lingbing Guo, Qingheng Zhang, Wei Hu et al.
Institution:State Key Laboratory for Novel Software Technology, Nanjing University, China
Keywords:Knowledge graph;entity prediction;triple prediction;recurrent neural network
doi:10.1162/dint_a_00016
Issue 3: 224-243, 2019 | PDF

Published: May 15, 2019
Views:68
Abstract: Knowledge graph (KG) completion aims at filling the missing facts in a KG, where a fact is typically represented as a triple in the form of
Virtual Knowledge Graphs: An Overview of Systems and Use Cases
Authors: Guohui Xiao; Linfang Ding; Benjamin Cogrel; Diego Calvanese
Institution:KRDB Research Centre for Knowledge and Data, Free University of Bozen-Bolzano, Bolzano 39100, Italy; Technical University of Munich, Munich 80333, Germany
Keywords:Virtual knowledge graph;Ontology-based data access;Data integration;Data virtualization
doi:10.1162/dint_a_00011
Issue 3: 201-223, 2019 | PDF

Published: May 5, 2019
Views:501
Abstract: In this paper, we present the virtual knowledge graph (VKG) paradigm for data integration and access, also known in the literature as Ontology-based Data Access. Instead of structuring the integrat...