Creating annotations for web ontology language ontology generated from relational databases
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Abstract
Many approaches that have been proposed that allow users to create a Web Ontology Language (OWL) ontology from a relational database fail to include metadata that are inherent to the database tables. Without metadata, the resulting ontology lacks annotation properties. These properties are key when performing ontology alignment. This paper proposes a method to include relevant metadata through annotation properties to OWL ontologies, which furthers the ability to integrate and use data from multiple unique ontologies. The described method is applied to geospatial data collected from The National Map, a data source hosted by the U. S. Geological Survey. Following that method, an ontology was manually created that used the metadata from The National Map. Because a manual approach is prone to human error, an automated approach to storing and converting metadata into annotation properties is discussed.
| Publication type | Conference Paper |
|---|---|
| Publication Subtype | Conference Paper |
| Title | Creating annotations for web ontology language ontology generated from relational databases |
| DOI | 10.1007/978-3-030-65384-2_4 |
| Year Published | 2020 |
| Language | English |
| Publisher | Springer |
| Contributing office(s) | Center for Geospatial Information Science (CEGIS) |
| Description | 16 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Conference publication |
| Larger Work Title | Knowledge graphs and semantic web. KGSWC 2020 |
| First page | 45 |
| Last page | 60 |
| Conference Title | Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020 |
| Conference Location | Mérida, Mexico |
| Conference Date | Nov 26–27, 2020 |
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