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Creating annotations for web ontology language ontology generated from relational databases

December 10, 2020

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 Year 2020
Title Creating annotations for web ontology language ontology generated from relational databases
DOI 10.1007/978-3-030-65384-2_4
Authors Matthew Edward Wagner, Tanner Edward Fry, Jacques Jules Bourquin, Dalia E. Varanka
Publication Type Conference Paper
Publication Subtype Conference Paper
Index ID 70216787
Record Source USGS Publications Warehouse
USGS Organization Center for Geospatial Information Science (CEGIS)