Knowledge graph completeness: A systematic literature review

S Issa, O Adekunle, F Hamdi, SSS Cherfi… - IEEE …, 2021 - ieeexplore.ieee.org
The quality of a Knowledge Graph (also known as Linked Data) is an important aspect to
indicate its fitness for use in an application. Several quality dimensions are identified, such …

Big data quality: A survey

I Taleb, MA Serhani, R Dssouli - 2018 IEEE International …, 2018 - ieeexplore.ieee.org
With the advances in communication technologies and the high amount of data generated,
collected, and stored, it becomes crucial to manage the quality of this data deluge in an …

Big data quality framework: a holistic approach to continuous quality management

I Taleb, MA Serhani, C Bouhaddioui, R Dssouli - Journal of Big Data, 2021 - Springer
Big Data is an essential research area for governments, institutions, and private agencies to
support their analytics decisions. Big Data refers to all about data, how it is collected …

Big data pre-processing: A quality framework

I Taleb, R Dssouli, MA Serhani - 2015 IEEE international …, 2015 - ieeexplore.ieee.org
With the abundance of raw data generated from various sources, Big Data has become a
preeminent approach in acquiring, processing, and analyzing large amounts of …

Big data quality framework: Pre-processing data in weather monitoring application

A Juneja, NN Das - … on Machine Learning, Big Data, Cloud and …, 2019 - ieeexplore.ieee.org
Big Data has become an imminent part of all industries and business sectors today. All
organizations in any sector like energy, banking, retail, hardware, networking, etc all …

RDF dataset profiling–a survey of features, methods, vocabularies and applications

M Ben Ellefi, Z Bellahsene, JG Breslin… - Semantic …, 2018 - content.iospress.com
Abstract The Web of Data, and in particular Linked Data, has seen tremendous growth over
the past years. However, reuse and take-up of these rich data sources is often limited and …

[LIBRO][B] Semantic technologies

C Fürber, C Fürber - 2016 - Springer
As discussed in section 2.1 of this thesis we regard semantic technologies “as technical
approaches that facilitate or make use of the interpretation of meaning by machines” …

A comprehensive quality model for linked data

F Radulovic, N Mihindukulasooriya… - Semantic …, 2017 - journals.sagepub.com
With the increasing amount of Linked Data published on the Web, the community has
recognised the importance of the quality of such data and a number of initiatives have been …

Ontology-based big data management

B Eine, M Jurisch, W Quint - Systems, 2017 - mdpi.com
Big data management is no longer an issue for large enterprises only; it has also become a
challenge for small and middle-sized enterprises, too. Today, enterprises have to handle …

Semantic-based Big Data integration framework using scalable distributed ontology matching strategy

I Mountasser, B Ouhbi, F Hdioud, B Frikh - Distributed and Parallel …, 2021 - Springer
Abstract Nowadays, Big Data management has become a key basis for innovation,
productivity growth, and competition. The correlated exploitation of data of this magnitude …