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How to Build a Knowledge Graph

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Abstract

This chapter outlines the state of the art of Knowledge Graph technologies by introducing the process of building a Knowledge Graph . We define the following major steps of an overall process model: (1) knowledge creation , (2) knowledge hosting , (3) knowledge curation , and (4) knowledge deployment . We demonstrate the methodology for the knowledge creation process that creates, extracts, and structures the fact base for a Knowledge Graph. We describe the process of knowledge collection , storage, and retrieval that implements established knowledge in a graph-based storage system. We analyze existing methods and tools to improve the quality of a large Knowledge Graph. For the Knowledge Curation process, we establish sub-steps, such as knowledge assessment , cleaning, and enrichment. For each of them, we determine various categories and dimensions that have been developed and described in the literature and identify tasks which can be applied (e.g., Knowledge Graph completion and correctness , error detection and correction, identifying and resolving duplicates). Finally, we describe the deployment process of a Knowledge Graph based on the following principles: findability, accessibility, interoperability, and reusability.

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  1. Semantic Technology Institute Innsbruck, Department of Computer Science, University of Innsbruck, Innsbruck, Tirol, Austria

    Dieter Fensel, Umutcan Şimşek, Kevin Angele, Elwin Huaman, Elias Kärle & Oleksandra Panasiuk

  2. Onlim GmbH, Telfs, Tirol, Austria

    Kevin Angele, Ioan Toma, Jürgen Umbrich & Alexander Wahler

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Fensel, D. et al. (2020). How to Build a Knowledge Graph. In: Knowledge Graphs. Springer, Cham. https://doi.org/10.1007/978-3-030-37439-6_2

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