Schneider Thomas, Šimkus Mantas
University of Bremen, Bremen, Germany.
TU Wien, Vienna, Austria.
Kunstliche Intell (Oldenbourg). 2020;34(3):329-353. doi: 10.1007/s13218-020-00686-3. Epub 2020 Aug 13.
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.
信息系统必须处理越来越多的异构、非结构化或不完整的数据。为了对齐和完善数据，系统可能会依赖以本体形式提供的分类法和背景知识。本次综述概述了关于使用本体来访问不完整和/或异构数据的研究工作。
