Ontologies and Data Management: A Brief Survey
Thomas Schneider, Mantas Šimkus
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.
Topics & Concepts
Computer scienceOntologyData scienceInformation retrievalData managementKnowledge managementData miningWorld Wide WebEpistemologyPhilosophySemantic Web and OntologiesAdvanced Database Systems and QueriesService-Oriented Architecture and Web Services