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Semantic data ingestion for intelligent, value-driven big data analytics

Debattista, Jeremy, Attard, Judie orcid logoORCID: 0000-0001-7507-1864 and Brennan, Rob orcid logoORCID: 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
Uncontrolled Keywords:AI ensembles; Intelligent Analytics; Semantics; Data Governance
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Institutes and Centres > ADAPT
Published in: 2018 4th International Conference on Big Data Innovations and Applications (Innovate-Data), Proceedings. . IEEE.
Official URL:http://dx.doi.org/10.1109/Innovate-Data.2018.00008
Copyright Information:© 2018 The Authors
Use License: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

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