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Author: Rob Brennan

Affiliation: Trinity College Dublin, Ireland

ISBN: 978-989-758-247-9

Keyword(s): Data Quality, Semantics, Linked Data, Data Value, Data Management.

Related Ontology Subjects/Areas/Topics: Cloud Computing ; Coupling and Integrating Heterogeneous Data Sources ; Databases and Information Systems Integration ; Enterprise Information Systems ; Semantic Web Technologies ; Services Science ; Software Agents and Internet Computing

Abstract: This paper reflects on six years developing semantic data quality tools and curation systems for both large-scale social sciences data collection and a major web of data hub. This experience has led the author to believe in using organisational value as a mechanism for automation of data quality management to deal with Big Data volumes and variety. However there are many challenges in developing these automated systems and this discussion paper sets out a set of challenges with respect to the current state of the art and identifies a number of potential avenues for researchers to tackle these challenges.

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Paper citation in several formats:
Brennan, R. (2017). Challenges for Value-driven Semantic Data Quality Management.In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 385-392. DOI: 10.5220/0006387803850392

@conference{iceis17,
author={Rob Brennan.},
title={Challenges for Value-driven Semantic Data Quality Management},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={385-392},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006387803850392},
isbn={978-989-758-247-9},
}

TY - CONF

JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Challenges for Value-driven Semantic Data Quality Management
SN - 978-989-758-247-9
AU - Brennan, R.
PY - 2017
SP - 385
EP - 392
DO - 10.5220/0006387803850392

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