NEOntometrics - A Public Endpoint for Calculating Ontology Metrics
Ontologies are the cornerstone of the semantic web and knowledge graphs. They are available from various sources, come in many shapes and sizes, and differ widely in attributes like expressivity, degree of interconnection, or the number of individuals. As sharing knowledge and meaning across human a...
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| Format: | Article |
| Language: | English |
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Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
2024-12-01
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| Series: | Transactions on Graph Data and Knowledge |
| Subjects: | |
| Online Access: | https://drops.dagstuhl.de/storage/08tgdk/tgdk-vol002/tgdk-vol002-issue002/TGDK.2.2.2/TGDK.2.2.2.pdf |
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| _version_ | 1850052784098902016 |
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| author | Reiz, Achim Sandkuhl, Kurt |
| author_facet | Reiz, Achim Sandkuhl, Kurt |
| author_sort | Reiz, Achim |
| collection | DOAJ |
| description | Ontologies are the cornerstone of the semantic web and knowledge graphs. They are available from various sources, come in many shapes and sizes, and differ widely in attributes like expressivity, degree of interconnection, or the number of individuals. As sharing knowledge and meaning across human and computational actors emphasizes the reuse of existing ontologies, how can we select the ontology that best fits the individual use case? How do we compare two ontologies or assess their different versions? Automatically calculated ontology metrics offer a starting point for an objective assessment. In the past years, a multitude of metrics have been proposed. However, metric implementations and validations for real-world data are scarce. For most of these proposed metrics, no software for their calculation is available (anymore). This work aims at solving this implementation gap. We present the emerging resource NEOntometrics, an open-source, flexible metric endpoint that offers (1.) an explorative help page that assists in understanding and selecting ontology metrics, (2.) a public metric calculation service that allows assessing ontologies from online resources, including GIT-based repositories for calculating evolutional data, with (3.) a scalable and adaptable architecture. In this paper, we first evaluate the state of the art, then show the software and its underlying architecture, followed by an evaluation. NEOntometrics is today the most extensive software for calculating ontology metrics. |
| format | Article |
| id | doaj-art-7ee213d04a394ff58eac9d86f0c4952c |
| institution | DOAJ |
| issn | 2942-7517 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik |
| record_format | Article |
| series | Transactions on Graph Data and Knowledge |
| spelling | doaj-art-7ee213d04a394ff58eac9d86f0c4952c2025-08-20T02:52:42ZengSchloss Dagstuhl -- Leibniz-Zentrum fuer InformatikTransactions on Graph Data and Knowledge2942-75172024-12-01222:12:2210.4230/TGDK.2.2.2NEOntometrics - A Public Endpoint for Calculating Ontology MetricsReiz, Achim0https://orcid.org/0000-0003-1446-9670Sandkuhl, Kurt1https://orcid.org/0000-0002-7431-8412Rostock University, GermanyRostock University, GermanyOntologies are the cornerstone of the semantic web and knowledge graphs. They are available from various sources, come in many shapes and sizes, and differ widely in attributes like expressivity, degree of interconnection, or the number of individuals. As sharing knowledge and meaning across human and computational actors emphasizes the reuse of existing ontologies, how can we select the ontology that best fits the individual use case? How do we compare two ontologies or assess their different versions? Automatically calculated ontology metrics offer a starting point for an objective assessment. In the past years, a multitude of metrics have been proposed. However, metric implementations and validations for real-world data are scarce. For most of these proposed metrics, no software for their calculation is available (anymore). This work aims at solving this implementation gap. We present the emerging resource NEOntometrics, an open-source, flexible metric endpoint that offers (1.) an explorative help page that assists in understanding and selecting ontology metrics, (2.) a public metric calculation service that allows assessing ontologies from online resources, including GIT-based repositories for calculating evolutional data, with (3.) a scalable and adaptable architecture. In this paper, we first evaluate the state of the art, then show the software and its underlying architecture, followed by an evaluation. NEOntometrics is today the most extensive software for calculating ontology metrics.https://drops.dagstuhl.de/storage/08tgdk/tgdk-vol002/tgdk-vol002-issue002/TGDK.2.2.2/TGDK.2.2.2.pdfontology metricsontology qualityknowledge graph semantic webowlrdf |
| spellingShingle | Reiz, Achim Sandkuhl, Kurt NEOntometrics - A Public Endpoint for Calculating Ontology Metrics Transactions on Graph Data and Knowledge ontology metrics ontology quality knowledge graph semantic web owl rdf |
| title | NEOntometrics - A Public Endpoint for Calculating Ontology Metrics |
| title_full | NEOntometrics - A Public Endpoint for Calculating Ontology Metrics |
| title_fullStr | NEOntometrics - A Public Endpoint for Calculating Ontology Metrics |
| title_full_unstemmed | NEOntometrics - A Public Endpoint for Calculating Ontology Metrics |
| title_short | NEOntometrics - A Public Endpoint for Calculating Ontology Metrics |
| title_sort | neontometrics a public endpoint for calculating ontology metrics |
| topic | ontology metrics ontology quality knowledge graph semantic web owl rdf |
| url | https://drops.dagstuhl.de/storage/08tgdk/tgdk-vol002/tgdk-vol002-issue002/TGDK.2.2.2/TGDK.2.2.2.pdf |
| work_keys_str_mv | AT reizachim neontometricsapublicendpointforcalculatingontologymetrics AT sandkuhlkurt neontometricsapublicendpointforcalculatingontologymetrics |