Ontologies and Data Management: A Brief Survey release_zeskjfjrpvcojjh6q3yjzhlyci

by Thomas Schneider, Mantas Šimkus

Published in Künstliche Intelligenz by Springer Science and Business Media LLC.

2020   Volume 34, Issue 3, p329-353

Abstract

Information systems have to deal with an increasing amount of data that is heterogeneous, unstructured, or incomplete. In order to align and complete data, systems may rely on taxonomies and background knowledge that are provided in the form of an ontology. This survey gives an overview of research work on the use of ontologies for accessing incomplete and/or heterogeneous data.
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Date   2020-08-13
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