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This article focuses on methodologies necessary to create effective knowledge graphs during IDN authoring, which can be used to support narrative engineers during the creation and maintenance of IDNs in a dynamic and scalable manner. Two different open-source knowledge graph technologies have been used, Apache Jena (an RDF triple store) and Neo4j Community Edition (a property model graph) for implementing two versions of an open source authoring environment. The findings show that Neo4j in general performs more preferable.

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Design of Knowledge Graphs for Interactive Digital Narratives Authoring

  • 会议论文

  • 发表日期：

    2025年

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  • M. Abhilash,
  • Frank Nack

摘要

This article focuses on methodologies necessary to create effective knowledge graphs during IDN authoring, which can be used to support narrative engineers during the creation and maintenance of IDNs in a dynamic and scalable manner. Two different open-source knowledge graph technologies have been used, Apache Jena (an RDF triple store) and Neo4j Community Edition (a property model graph) for implementing two versions of an open source authoring environment. The findings show that Neo4j in general performs more preferable.