What is it about?

Knowledge graphs are used a lot in business, and they are also studied in the academic world. But different models are used to make different kinds of knowledge graphs. By analysing and putting together a summary of the most common ways to build a knowledge graph, researchers and practitioners would get a better idea of the overall process and methods involved. The proposed process suggests a unified way to build and manage knowledge graphs and gives researchers and practitioners advice on how to do this.

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Why is it important?

This process suggests a unified approach to knowledge graph development and provides guidance for both researchers and practitioners when constructing and managing knowledge graphs. This article aimed at understanding the main steps in the knowledge graph development process and how they are interrelated. This was done through a systematic review and conceptual analysis. The main steps of the development process include: (i) identify data, (ii) construct the knowledge graph ontology, (iii) extract knowledge, (iv) process knowledge, (v) construct the knowledge graph, and (vi) maintain the knowledge graph.

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This page is a summary of: Defining a Knowledge Graph Development Process Through a Systematic Review, ACM Transactions on Software Engineering and Methodology, April 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3522586.
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