An Ontological-Based Model to Data Governance for Big Data

Castro Escudero, Alfonso and Villagrá González, Víctor Abraham and García, Paula and Rivera Pinto, Diego and Tolego, David (2021). An Ontological-Based Model to Data Governance for Big Data. "IEEE ACCESS", v. 9 ; pp. 109943-109959. ISSN 2169-3536. https://doi.org/10.1109/ACCESS.2021.3101938.

Description

Title: An Ontological-Based Model to Data Governance for Big Data
Author/s:
  • Castro Escudero, Alfonso
  • Villagrá González, Víctor Abraham
  • García, Paula
  • Rivera Pinto, Diego
  • Tolego, David
Item Type: Article
Título de Revista/Publicación: IEEE ACCESS
Date: 2021
ISSN: 2169-3536
Volume: 9
Subjects:
Freetext Keywords: Big data, data governance, knowledge-based management, ontologies, reasoning, OWL, SWRL
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Telemática y Electrónica
Creative Commons Licenses: None

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Abstract

Nowadays, companies and of�cial bodies are using the data as a principal asset to take strategic decisions. The advances in big data processing, storage and analysis techniques have allowed to manage the continuous increase in the volume of data. This increase in the volume of data together with its high variability and the large number of sources lead to a constant growing of the complexity of the data management environment. Data governance is the key for simplifying that complexity: it is the element that controls the decision making and responsibilities for all the processes related to data management. This paper discusses an approach to data governance based on ontological reasoning to reduce data management complexity. The proposed data governance system is built over an autonomous system based on distributed components. It implements semantic techniques and automatic ontology-based reasoning. The different components use a Shared Knowledge Plane to interact. Its fundamental piece is an ontology that represents all the data management processes included in data governance. A prototype of such a system has been implemented and tested for Telefonica's global video service. The results obtained show the feasibility of using this type of technology to reduce the complexity of managing big data environments.

More information

Item ID: 69131
DC Identifier: https://oa.upm.es/69131/
OAI Identifier: oai:oa.upm.es:69131
DOI: 10.1109/ACCESS.2021.3101938
Official URL: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9503381
Deposited by: Alfonso Castro
Deposited on: 28 Nov 2021 18:49
Last Modified: 28 Nov 2021 18:49
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