Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

An ontology-based quality framework for data integration

Date

Authors

Wang, J

Martin, Nigel

Poulovassilis , Alexandra

Publisher

Springer

Abstract

The data integration (DI) process involves multiple users with roles such as administrators, integrators and end-users, each of whom may have requirements which have an impact on the overall quality of an integrated resource. Users' requirements may confl

Keywords

Keywords: Description languages; Integrated resources; Overall quality; Quality assessment; Quality criteria; Quality metrics; Reasoning capabilities; User requirements; Information science; Data integration Data Integration; Quality Assessment; Quality Metrics

URI

http://hdl.handle.net/1885/82760

Collections

ANU Research Publications

Source

Lecture Notes in Business Information Processing volume 106: Workshops on Business Informatics Research

Type

Conference paper

DOI

10.1007/978-3-642-29231-6-16