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dc.contributor.author
Koutela, Kyriaki
en
dc.date.accessioned
2023-06-09T11:34:15Z
dc.date.available
2023-06-09T11:34:15Z
dc.date.issued
2023-06-09
dc.identifier.uri
https://repository.ihu.edu.gr//xmlui/handle/11544/30289
dc.rights
Default License
dc.subject
Data quality
en
dc.subject
NLP
el
dc.title
Data analysis from the Greek National Catalogue of Services with the use of KNIME
en
heal.type
masterThesis
en_US
heal.dateAvailable
2023-03-14
heal.language
en
en_US
heal.access
free
en_US
heal.license
http://creativecommons.org/licenses/by-nc/4.0
en_US
heal.recordProvider
School of Science and Technology, MSc in Data Science
en_US
heal.publicationDate
2023-03-14
heal.abstract
In the digital age, high-quality data is essential for transparent and effective decision-making, as well as for the provision of important public services. However, ensuring data quality is a complex and multifaceted task that depends on various factors, such as the sources of the data, the processes used to collect and manage it, and the integrity of the systems that store and access it. In this study, we focused on the data quality of information available on the mitos.gov website of the Greek government. Using the KNIME platform, we extracted data from the website and evaluated its quality using a set of quality dimensions. To this end, we developed a model for clustering descriptions of the data records and used it to assign topics to each cluster. Our findings provide valuable insights into the data quality of the Greek government website and highlight some issues that need to be addressed in order to improve the reliability and usefulness of the information available on the website. Based on our analysis, we offer a set of recommendations for improving the data quality and data integration of the website.
en
heal.advisorName
Berberidis, Christos
el
heal.committeeMemberName
Peristeras, Vasilios
en
heal.committeeMemberName
Magnisalis, Ioannis
el
heal.academicPublisher
IHU
el
heal.academicPublisherID
ihu
en_US


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