Semantic data ingestion for intelligent, value-driven big data analytics
Debattista, Jeremy, Attard, JudieORCID: 0000-0001-7507-1864 and Brennan, RobORCID: 0000-0001-6546-6408
(2018)
Semantic data ingestion for intelligent, value-driven big data analytics.
In: 4th International Conference on Big Data Innovations and Applications (Innovate-Data), 6-8 Aug 2018, Barcelona, Spain.
In this position paper we describe a conceptual
model for intelligent Big Data analytics based on both semantic
and machine learning AI techniques (called AI ensembles). These
processes are linked to business outcomes by explicitly modelling
data value and using semantic technologies as the underlying
mode for communication between the diverse processes and
organisations creating AI ensembles. Furthermore, we show
how data governance can direct and enhance these ensembles
by providing recommendations and insights that to ensure the
output generated produces the highest possible value for the
organisation.
Item Type:
Conference or Workshop Item (Paper)
Event Type:
Conference
Refereed:
Yes
Uncontrolled Keywords:
AI ensembles; Intelligent Analytics; Semantics; Data Governance
This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:
Irish Research Council Government of Ireland Postdoctoral Fellowship award (GOIPD/2017/1204), the European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 713567 (EDGE), SFI Research Centres Programme (Grant 13/RC/2106) and co-funded by the European Regional Development Fund
ID Code:
22985
Deposited On:
15 Feb 2019 12:54 by
Thomas Murtagh
. Last Modified 15 Feb 2019 12:54