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Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review

Author

Listed:
  • Vetle Ryen

    (Department of Informatics, University of Oslo, Gaustadalléen 23B, 0373 Oslo, Norway)

  • Ahmet Soylu

    (Department of Computer Science, OsloMet—Oslo Metropolitan University, Pilestredet 35, 0167 Oslo, Norway)

  • Dumitru Roman

    (Sustainable Communication Technologies, SINTEF AS, Forskningsveien 1, 0373 Oslo, Norway)

Abstract

Knowledge graphs have, for the past decade, been a hot topic both in public and private domains, typically used for large-scale integration and analysis of data using graph-based data models. One of the central concepts in this area is the Semantic Web, with the vision of providing a well-defined meaning to information and services on the Web through a set of standards. Particularly, linked data and ontologies have been quite essential for data sharing, discovery, integration, and reuse. In this paper, we provide a systematic literature review on knowledge graph creation from structured and semi-structured data sources using Semantic Web technologies. The review takes into account four prominent publication venues, namely, Extended Semantic Web Conference , International Semantic Web Conference, Journal of Web Semantics , and Semantic Web Journal . The review highlights the tools, methods, types of data sources, ontologies, and publication methods, together with the challenges, limitations, and lessons learned in the knowledge graph creation processes.

Suggested Citation

  • Vetle Ryen & Ahmet Soylu & Dumitru Roman, 2022. "Building Semantic Knowledge Graphs from (Semi-)Structured Data: A Review," Future Internet, MDPI, vol. 14(5), pages 1-24, April.
    • Handle: RePEc:gam:jftint:v:14:y:2022:i:5:p:129-:d:800847
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    References listed on IDEAS

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    1. Matteo Cristani & Roberta Cuel, 2005. "A Survey on Ontology Creation Methodologies," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 1(2), pages 49-69, April.
    2. Cecilia Avila-Garzon, 2020. "Applications, Methodologies, and Technologies for Linked Open Data: A Systematic Literature Review," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 16(3), pages 53-69, July.
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