Creating Annotations for Web Ontology Language Ontology Generated from Relational Databases

被引:1
作者
Wagner, Matthew [1 ]
Varanka, Dalia [1 ]
机构
[1] US Geol Survey, Rolla, MO 65401 USA
来源
KNOWLEDGE GRAPHS AND SEMANTIC WEB, KGSWC 2020 | 2020年 / 1232卷
关键词
Semantic Web; OWL ontology; Geographic information systems (GIS); Geospatial data; Metadata;
D O I
10.1007/978-3-030-65384-2_4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
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.
引用
收藏
页码:45 / 60
页数:16
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