Ontologies and Data Management: A Brief Survey
| dc.contributor.author | Schneider, Thomas | |
| dc.contributor.author | Šimkus, Mantas | |
| dc.date.accessioned | 2021-04-23T09:35:31Z | |
| dc.date.available | 2021-04-23T09:35:31Z | |
| dc.date.issued | 2020 | |
| dc.description.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. | de |
| dc.identifier.doi | 10.1007/s13218-020-00686-3 | |
| dc.identifier.pissn | 1610-1987 | |
| dc.identifier.uri | http://dx.doi.org/10.1007/s13218-020-00686-3 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/36304 | |
| dc.publisher | Springer | |
| dc.relation.ispartof | KI - Künstliche Intelligenz: Vol. 34, No. 3 | |
| dc.relation.ispartofseries | KI - Künstliche Intelligenz | |
| dc.title | Ontologies and Data Management: A Brief Survey | de |
| dc.type | Text/Journal Article | |
| gi.citation.endPage | 353 | |
| gi.citation.startPage | 329 |