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Title Knowledge Graphs: A Guided Tour
Authors Aidan Hogan
Publication date June 2022
Abstract Much has been written about knowledge graphs in the past
years by
authors coming from diverse communities. The goal of these lecture notes is
to provide a guided tour to the secondary and tertiary literature concerning
knowledge graphs where the reader can learn more about particular topics. In
particular, we collate together brief summaries of relevant books, book
collections, book chapters, journal articles and other publications that
provide introductions, primers, surveys and perspectives regarding:
knowledge graphs in general; graph data models and query languages;
semantics in the form of graph schemata, ontologies and rules; graph theory,
algorithms and analytics; graph learning, in the form of knowledge graph
embeddings and graph neural networks; and the knowledge graph life-cycle,
which incorporates works on constructing, refining and publishing knowledge
graphs. Where available, we highlight and provide direct links to open
access literature.
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