publication . Report . Other literature type . 2019

BigDataGrapes D4.2 - Methods and Tools for Distributed Inference

Yankova, Milena; SImeonov, Boyan; Kiryakov, Atanas; Alexiev, Vladimir;
Open Access English
  • Published: 29 Mar 2019
Abstract
The objective of this deliverable is to develop inference methods that support efficient information selection from heterogeneous data pools. There are many challenges in data reasoning and inference based on distributed data. The first one is addressing data security and access rights to both original data and inferred information. The second challenge is how the actual inference over distributed sources can be performed and implemented. We address the main principles applied to data inference and different types of inference – rule-based, query-based, model-based and fuzzy inference – and their application in BigDataGrapes project. The Final section is dedicat...
Subjects
free text keywords: data security; access rights; data inference
Funded by
EC| BigDataGrapes
Project
BigDataGrapes
Big Data to Enable Global Disruption of the Grapevine-powered Industries
  • Funder: European Commission (EC)
  • Project Code: 780751
  • Funding stream: H2020 | RIA
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Report . 2018
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ZENODO
Report . 2019
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Zenodo
Other literature type . 2019
Provider: Datacite
Zenodo
Other literature type . 2019
Provider: Datacite
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