An integration-oriented ontology to govern evolution in Big Data ecosystems

作者:

Highlights:

• A structured ontology that allows to model and integrate evolving data.

• A method that handles schema evolution on the sources.

• A query answering algorithm that is capable of unambiguously resolving LAV mappings.

摘要

•A structured ontology that allows to model and integrate evolving data.•A method that handles schema evolution on the sources.•A query answering algorithm that is capable of unambiguously resolving LAV mappings.

论文关键词:Data integration,Evolution,Semantic web

论文评审过程:Received 14 July 2017, Revised 15 December 2017, Accepted 25 January 2018, Available online 2 February 2018, Version of Record 5 November 2018.

论文官网地址:https://doi.org/10.1016/j.is.2018.01.006