Knowledge Graphs

@article{Hogan2021KnowledgeG,
  title={Knowledge Graphs},
  author={Aidan Hogan and Eva Blomqvist and Michael Cochez and Claudia d’Amato and Gerard de Melo and Claudio Guti{\'e}rrez and S. Kirrane and Jos{\'e} Emilio Labra Gayo and R. Navigli and Sebastian Neumaier and Axel-Cyrille Ngonga Ngomo and Axel Polleres and Sabbir M. Rashid and Anisa Rula and Lukas Schmelzeisen and Juan Sequeda and Steffen Staab and Antoine Zimmermann},
  journal={ACM Computing Surveys (CSUR)},
  year={2021},
  volume={54},
  pages={1 - 37}
}
In this article, we provide a comprehensive introduction to knowledge graphs, which have recently garnered significant attention from both industry and academia in scenarios that require exploiting diverse, dynamic, large-scale collections of data. After some opening remarks, we motivate and contrast various graph-based data models, as well as languages used to query and validate knowledge graphs. We explain how knowledge can be represented and extracted using a combination of deductive and… 
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References

SHOWING 1-10 OF 170 REFERENCES
What Is a Knowledge Graph?
  • M. Kejriwal
  • Computer Science
    Domain-Specific Knowledge Graph Construction
  • 2019
TLDR
While a knowledge graph seems to be a very simple way of representing information, it turns out to be quite powerful and is almost a lingua franca of sorts between humans and machines.
A retrospective of knowledge graphs
TLDR
This paper discusses in detail about the process of building knowledge graphs, and survey state-of-the-art techniques for automatic knowledge graph checking and expansion via logical inferring and reasoning.
Knowledge Graphs: Research Directions
  • A. Hogan
  • Computer Science
    Reasoning Web
  • 2020
TLDR
These lecture notes provide an overview of some of the high-level research directions and open questions relating to knowledge graphs: data models, queries, ontologies, rules, embeddings and graph neural networks.
Knowledge Graphs: Methodology, Tools and Selected Use Cases
TLDR
This section attempts to derive a definition for Knowledge Graphs by compiling existing definitions made in the literature and considering the distinctive characteristics of previous efforts for tackling the data integration challenge the authors are facing today.
G-CORE: A Core for Future Graph Query Languages
TLDR
G-CORE is reported on a community effort between industry and academia to shape the future of graph query languages, and strikes a careful balance between path query expressivity and evaluation complexity.
Knowledge Graphs on the Web - an Overview
TLDR
This chapter provides an overview and comparison of those publicly available knowledge graphs, and gives insights into their contents, size, coverage, and overlap.
Virtual Knowledge Graphs: An Overview of Systems and Use Cases
TLDR
This paper presents the virtual knowledge graph (VKG) paradigm, which replaces the rigid structure of tables with the flexibility of graphs that are kept virtual and embed domain knowledge.
Knowledge graph refinement: A survey of approaches and evaluation methods
TLDR
A survey of such knowledge graph refinement approaches, with a dual look at both the methods being proposed as well as the evaluation methodologies used.
A Comprehensive Survey of Knowledge Graph Embeddings with Literals: Techniques and Applications
TLDR
This study conducts a comprehensive survey based on techniques of KG embedding models which consider the structured information of the graph as well as the unstructured information in form of literals such as text, numerical values etc.
A COMMON SENSE VIEW OF KNOWLEDGE GRAPHS
Of late, it seems everywhere I turn some discussion or debate is taking place as to what a ‘knowledge graph’ is and how to define one. The semantic Web community not infrequently engages in such
...
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