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Defining a Knowledge Graph Development Process Through a Systematic Review

Gytė Tamašauskaitė, Paul Groth

2022ACM Transactions on Software Engineering and Methodology128 citationsDOIOpen Access PDF

Abstract

Knowledge graphs are widely used in industry and studied within the academic community. However, the models applied in the development of knowledge graphs vary. Analysing and providing a synthesis of the commonly used approaches to knowledge graph development would provide researchers and practitioners a better understanding of the overall process and methods involved. Hence, this article aims at defining the overall process of knowledge graph development and its key constituent steps. For this purpose, a systematic review and a conceptual analysis of the literature was conducted. The resulting process was compared to case studies to evaluate its applicability. The proposed process suggests a unified approach and provides guidance for both researchers and practitioners when constructing and managing knowledge graphs.

Topics & Concepts

Computer scienceKnowledge graphProcess (computing)GraphKnowledge managementData scienceArtificial intelligenceTheoretical computer scienceOperating systemAdvanced Graph Neural NetworksData Quality and ManagementTopic Modeling
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