Knowledge graph completeness: A systematic literature review
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 …
indicate its fitness for use in an application. Several quality dimensions are identified, such …
Big data quality: A survey
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 …
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
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 …
support their analytics decisions. Big Data refers to all about data, how it is collected …
Big data pre-processing: A quality framework
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 …
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 …
organizations in any sector like energy, banking, retail, hardware, networking, etc all …
RDF dataset profiling–a survey of features, methods, vocabularies and applications
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 …
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” …
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 …
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 …
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
Abstract Nowadays, Big Data management has become a key basis for innovation,
productivity growth, and competition. The correlated exploitation of data of this magnitude …
productivity growth, and competition. The correlated exploitation of data of this magnitude …