Schneider T, Šimkus M. Ontologies and Data Management: A Brief Survey.
KUNSTLICHE INTELLIGENZ 2020;
34:329-353. [PMID:
32999532 PMCID:
PMC7497697 DOI:
10.1007/s13218-020-00686-3]
[Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 07/22/2020] [Indexed: 11/30/2022]
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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