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Knowledge Engineering in the Era of Artificial Intelligence

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Advances in Databases and Information Systems (ADBIS 2023)

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Abstract

Knowledge engineering with respect to knowledge graphs and graph data in general is becoming a more and more essential component of intelligent systems. Such systems benefit from the wealth of structured knowledge, which does not only include native graph data, such as social networks or Linked Data on the Web, but also general knowledge describing particular topics of interest. Furthermore, the flexibility of the graph model and its ability to store data relationships explicitly enables the integration and exploitation of data from very diverse sources. Hence, to truly exploit their potential, it becomes crucial to provide intelligent systems with verifiable knowledge, reliable facts, patterns, and a deeper understanding of the underlying domains. This paper will therefore chart a number of current challenges in knowledge engineering and discuss opportunities.

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Notes

  1. 1.

    https://openai.com/chatgpt

  2. 2.

    https://www.w3.org/RDF/

  3. 3.

    In RDF edges are represented as triples (subject, predicate, object), where subject and object represent a pair of nodes and the predicate describes the relationship (edge label) between them.

  4. 4.

    https://www.w3.org/TR/rdf-sparql-query/

  5. 5.

    http://cas.lod-cloud.net/

  6. 6.

    http://www.w3.org/TR/owl2-overview/

  7. 7.

    http://www.w3.org/TR/rdf-schema/

  8. 8.

    https://www.w3.org/TR/shacl/

  9. 9.

    https://w3c.github.io/rdf-star/

  10. 10.

    https://www.w3.org/TR/prov-o/

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Authors and Affiliations

  1. TU Wien, Vienna, Austria

    Katja Hose

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  1. Katja Hose
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Correspondence to Katja Hose .

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  1. Universitat Politècnica de Catalunya, Barcelona, Spain

    Alberto Abelló

  2. University of Ioannina, Ioannina, Greece

    Panos Vassiliadis

  3. Universitat Politècnica de Catalunya, Barcelona, Spain

    Oscar Romero

  4. Poznan University of Technology, Poznan, Poland

    Robert Wrembel

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Hose, K. (2023). Knowledge Engineering in the Era of Artificial Intelligence. In: Abelló, A., Vassiliadis, P., Romero, O., Wrembel, R. (eds) Advances in Databases and Information Systems. ADBIS 2023. Lecture Notes in Computer Science, vol 13985. Springer, Cham. https://doi.org/10.1007/978-3-031-42914-9_1

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