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2019 | OriginalPaper | Buchkapitel

A Method for Automatically Generating Schema Diagrams for OWL Ontologies

verfasst von : Cogan Shimizu, Aaron Eberhart, Nazifa Karima, Quinn Hirt, Adila Krisnadhi, Pascal Hitzler

Erschienen in: Knowledge Graphs and Semantic Web

Verlag: Springer International Publishing

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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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Fußnoten
10
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.
 
14
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.
 
16
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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Metadaten
Titel
A Method for Automatically Generating Schema Diagrams for OWL Ontologies
verfasst von
Cogan Shimizu
Aaron Eberhart
Nazifa Karima
Quinn Hirt
Adila Krisnadhi
Pascal Hitzler
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-21395-4_11

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