Abstract
Interest in Semantic Web technologies, including knowledge graphs and ontologies, is increasing rapidly in industry and academics. In order to support ontology engineers and domain experts, it is necessary to provide them with robust tools that facilitate the ontology engineering process. Often, the schema diagram of an ontology is the most important tool for quickly conveying the overall purpose of an ontology. In this paper, we present a method for programmatically generating a schema diagram from an OWL file. We evaluate its ability to generate schema diagrams similar to manually drawn schema diagrams and show that it outperforms VOWL and OWLGrEd. In addition, we provide a prototype implementation of this tool.
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Notes
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At this time, we do not consider owl:Imports as the tool is completely offline. Additionally, we wish to only generate a schema diagram for those axioms directly in the OWL file of interest.
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For this diagram, SDOnt utilized an “orthagonal layout” that is pre-defined in the associated visualization library. Our method for generating a schema diagram, at this time, makes no assertions about the placement of nodes in the graph.
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We note that there has been an update to both of these web application since we conducted our evaluation. However, due to time constraints, we were unable to go back and re-run the evaluation. Fortunately, we do not punish any tool for being unable to render a document; we only compare performance against the subset of patterns that every tool successfully processed.
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Acknowledgement
Cogan Shimizu acknowledges support by the Dayton Area Graduate Studies Institute (DAGSI). This work was partially supported by the Air Force Office of Scientific Research under award number FA9550-18-1-0386.
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Shimizu, C., Eberhart, A., Karima, N., Hirt, Q., Krisnadhi, A., Hitzler, P. (2019). A Method for Automatically Generating Schema Diagrams for OWL Ontologies. In: Villazón-Terrazas, B., Hidalgo-Delgado, Y. (eds) Knowledge Graphs and Semantic Web. KGSWC 2019. Communications in Computer and Information Science, vol 1029. Springer, Cham. https://doi.org/10.1007/978-3-030-21395-4_11
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