Defining a Knowledge Graph Development Process Through a Systematic Review

Author:

Tamašauskaitė Gytė1ORCID,Groth Paul1ORCID

Affiliation:

1. University of Amsterdam, Amsterdam, Netherlands

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.

Publisher

Association for Computing Machinery (ACM)

Subject

Software

Reference94 articles.

1. 2012. Introducing the Knowledge Graph: things not strings. Retrieved 1 March 2021 from https://blog.google/products/search/introducing-knowledge-graph-things-not/.

2. Domain-specific knowledge graphs: A survey

3. Tahir Ahmed, Julian Cox, Lynda Girvan, Alan Paul, Debra Paul, and Pete Thompson. 2014. Developing Information Systems: Practical Guidance for IT Professionals. BCS Learning & Development Ltd, Swindon, UK.

4. Automatic Knowledge Base Construction from Scholarly Documents

5. Kholoud AlGhamdi, Miaojing Shi, and Elena Simperl. 2021. Learning to recommend items to wikidata editors. In Proceedings of the International Semantic Web Conference. Springer, 163–181.

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