Titlebook: Knowledge Graphs; Aidan Hogan,Claudio Gutierrez,Antoine Zimmermann Book 2022 Springer Nature Switzerland AG 2022

Inertia

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Creation and Enrichment, data that range from plain text to structured formats (and anything in between). The appropriate methodology to follow when creating a knowledge graph depends on the actors involved, the domain, the envisaged applications, the available data sources, etc. Generally speaking, however, the flexibilit

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作嘔

Refinement, correct the knowledge graph [Paul-heim, 2017], aka . and . respectively. As distinguished from the creation and enrichment tasks outlined in Chapter 6, refinement typically does not involve applying extraction or mappings over external sources in order to ingest their content into the local knowled

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記憶法

Knowledge Graphs in Practice,phs, most of which have been published on the Web per the guidelines and protocols described in Chapter 9. We later discuss enterprise knowledge graphs that have been created by companies from diverse industries for a wide range ofapplications.

同謀

Conclusions,tion of a knowledge graph as . we have discussed models by which data can be structured as graphs; representations of schema, identity and context; techniques for leveraging deductive and inductive knowledge; methods for the creation, enrichment, quality assessment and refinement of knowledge graphs

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Erythropoietin

記憶

Aidan Hogan,Claudio Gutierrez,Michael Cochez,Gerard de Melo,Sabrina Kirrane,Axel Polleres,Roberto Na