Use of context in data quality management: a systematic literature review
The importance of context in data quality (DQ) was shown many years ago and nowadays is
widely accepted. Early approaches and surveys defined DQ as fitness for use and showed …
widely accepted. Early approaches and surveys defined DQ as fitness for use and showed …
[HTML][HTML] A Framework for Current and New Data Quality Dimensions: An Overview
R Miller, H Whelan, M Chrubasik, D Whittaker… - Data, 2024 - mdpi.com
This paper presents a comprehensive exploration of data quality terminology, revealing a
significant lack of standardisation in the field. The goal of this work was to conduct a …
significant lack of standardisation in the field. The goal of this work was to conduct a …
Using Ontologies as Context for Data Warehouse Quality Assessment
C Sanz, A Marotta - International Conference on Big Data Analytics and …, 2023 - Springer
Abstract In Data Warehouse systems, Data Quality has an important role since quality of
data is compromised throughout the Data Warehouse lifecycle. Data Quality is context …
data is compromised throughout the Data Warehouse lifecycle. Data Quality is context …
Context-Aware Data Quality Management Methodology
Data quality management (DQM) is a complex task involving activities for data quality (DQ)
assessment and improvement. Many DQ methodologies address DQM (sometimes …
assessment and improvement. Many DQ methodologies address DQM (sometimes …
[PDF][PDF] An Overview of Current and New Data Quality Dimensions under a Common Framework
R Miller, H Whelan, M Chrubasik, D Whittaker… - 2024 - preprints.org
This paper presents a comprehensive exploration of Data Quality terminology, revealing a
significant lack of standardisation in the field. We propose a novel approach to aggregating …
significant lack of standardisation in the field. We propose a novel approach to aggregating …
Check for Using Ontologies as Context for Data Warehouse Quality Assessment
C Sanz, A Marotta - Big Data Analytics and Knowledge Discovery …, 2023 - books.google.com
Camila Sanz) and Adriana Marotta D Facultad de Ingeniería, Universidad de la República,
Montevideo, Uruguay {csanz, amarotta}@ fing. edu. uy Abstract. In Data Warehouse …
Montevideo, Uruguay {csanz, amarotta}@ fing. edu. uy Abstract. In Data Warehouse …
Leveraging users' behavior, intentions and interests for enhancing Exploratory Data Analysis and Data Narration
V Peralta - 2024 - hal.science
Exploratory Data Analysis (EDA) is an analysis technique used for efficiently extracting
knowledge from data even when we do not know exactly what we are looking for. EDA is at …
knowledge from data even when we do not know exactly what we are looking for. EDA is at …
Data Context-Aware Web Information Retrieval
D Espino, F Serra, L Tansini - 2023 XLIX Latin American …, 2023 - ieeexplore.ieee.org
When users search the Web it is difficult to return information that is as complete as possible.
Also many short texts, such as tweets, are not self-contained and need to be explained since …
Also many short texts, such as tweets, are not self-contained and need to be explained since …