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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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Crossref Metadata (via API)
Worldcat
SHERPA/RoMEO (journal policies)
wikidata.org
CORE.ac.uk
Semantic Scholar
Google Scholar