Semantic Data Ingestion for Big Data Value-Driven Intelligent Analytics
File Type:
PDFItem Type:
Conference PaperDate:
2018Access:
openAccessCitation:
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 - 8Download Item:
paper.pdf (Published (author's copy) - Peer Reviewed) 185.1Kb
Abstract:
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.
URI:
http://www.tara.tcd.ie/bitstream/item/150092/paper.pdf?sequence=1&isAllowed=yhttp://hdl.handle.net/2262/91234
Sponsor
Grant Number
Irish Research Council (IRC)
GOIPD/2017/1204
Marie Curie
713567
Science Foundation Ireland (SFI)
13/RC/2106
Author's Homepage:
http://people.tcd.ie/rbrennahttp://people.tcd.ie/attardj
http://people.tcd.ie/debattij
Other Titles:
4th International Conference on Big Data Innovations and ApplicationsPublisher:
IEEEType of material:
Conference PaperURI:
http://www.tara.tcd.ie/bitstream/item/150092/paper.pdf?sequence=1&isAllowed=yhttp://hdl.handle.net/2262/91234
Collections:
Availability:
Full text availableKeywords:
AI ensembles, Intelligent analytics, Semantics, Data governanceSubject (TCD):
Digital Engagement , Telecommunications , SEMANTIC WEBDOI:
https://doi.org/10.1109/Innovate-Data.2018.00008Licences: