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 …

Data and information quality

C Batini, M Scannapieco - Cham, Switzerland: Springer International …, 2016 - Springer
This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …

Data-Centric Systems and Applications

MJ Carey, S Ceri, P Bernstein, U Dayal, C Faloutsos… - Italy: Springer, 2006 - Springer
The rapid growth of the Web in the past two decades has made it the largest publicly
accessible data source in the world. Web mining aims to discover useful information or …

Supporting building automation systems in BIM/IFC: reviewing the existing information gap

R Vieira, P Carreira, P Domingues… - Engineering, Construction …, 2020 - emerald.com
Purpose Despite the continuous development of Building Information Modeling (BIM)
standards, not all of its dimensions are supported to the same extent. This is the case of …

Representing data quality in sensor data streaming environments

A Klein, W Lehner - Journal of Data and Information Quality (JDIQ), 2009 - dl.acm.org
Sensors in smart-item environments capture data about product conditions and usage to
support business decisions as well as production automation processes. A challenging …

Quality-aware service-oriented data integration: requirements, state of the art and open challenges

S Dustdar, R Pichler, V Savenkov, HL Truong - ACM SIGMOD Record, 2012 - dl.acm.org
With a multitude of data sources available online, data consumers might find it hard to select
the best combination of sources for their needs. Aspects such as price, licensing, service …

[HTML][HTML] Cost-based analysis of the impact of data completeness and representational consistency

Y Timmerman, R Nasfi, G De Tré, F Pattyn… - Decision Support …, 2023 - Elsevier
Data quality is an important topic for businesses and therefore requires appropriate analysis
tools. Although several rule-based systems exist today for quality measurement, their results …

Representing data quality for streaming and static data

A Klein, HH Do, G Hackenbroich… - 2007 IEEE 23rd …, 2007 - ieeexplore.ieee.org
In smart item environments, multitude of sensors are applied to capture data about product
conditions and usage to guide business decisions as well as production automation …

Declarative data fusion–syntax, semantics, and implementation

J Bleiholder, F Naumann - East European Conference on Advances in …, 2005 - Springer
In today's integrating information systems data fusion, ie, the merging of multiple tuples
about the same real-world object into a single tuple, is left to ETL tools and other specialized …

Referential integrity quality metrics

C Ordonez, J García-García - Decision Support Systems, 2008 - Elsevier
Referential integrity is an essential global constraint in a relational database, that maintains
it in a complete and consistent state. In this work, we assume the database may violate …