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Semantic Data Ingestion for Big Data Value-Driven Intelligent Analytics
Brennan, Rob; Debattista, Jeremy; Attard, Judie
In this position paper we describe a conceptualmodel for intelligent Big Data analytics based on both semanticand machine learning AI techniques (called AI ensembles). Theseprocesses are linked to business outcomes by explicitly modellingdata value and using semantic technologies as the underlyingmode for communication between the diverse processes andorganisations creating AI ensembles. Furthermore, we showhow data governance can direct and enhance these ensemblesby providing recommendations and insights that to ensure theoutput generated produces the highest possible value for theorganisation.
Keyword(s): AI ensembles; Intelligent analytics; Semantics; Data governance; Digital Engagement; Telecommunications; SEMANTIC WEB; Communication
Publication Date:
2018
Type: Conference item
Peer-Reviewed: Yes
Language(s): English
Institution: Trinity College Dublin
Citation(s): Debattista, J., Attard, J. & Brennan, R., Semantic Data Ingestion for Big Data Value-Driven Intelligent Analytics, 4th International Conference on Big Data Innovations and Applications, Barcelona, Spain, 6-8 August 2018, IEEE, 2018, 1 - 8
Publisher(s): IEEE
Alternative Title(s): 4th International Conference on Big Data Innovations and Applications
Related Link(s): http://www.tara.tcd.ie/bitstream/item/150092/paper.pdf?sequence=1&isAllowed=y
First Indexed: 2019-12-28 08:11:24 Last Updated: 2019-12-28 08:11:24