Data Management Technologies and Applications [electronic resource] : 10th International Conference, DATA 2021, Virtual Event, July 6–8, 2021, and 11th International Conference, DATA 2022, Lisbon, Portugal, July 11-13, 2022, Revised Selected Papers /

Papers -- A Survey-based Evaluation of the Data Engineering Maturity in Practice -- Automating Data Quality Monitoring with Reference Data Profiles -- Towards Comparable Ratings: Quantifying Evaluative Phrases in Physician Reviews -- SubTempora: A Hybrid Approach for Optimising Subgraph Searching -- Exploring Instagram and Youtube Data to Extract User Insights: The Greek Paradigm -- Automatic Detection of Facial Landmarks for Denture Models -- Combining Image and Text Matching for Product Classification in Retail -- Automatic Sentiment Labelling of Multimodal Data -- From Cracked Accounts to Fake IDs: User Profiling on German Telegram Black Market Channels -- Data Mining and Machine Learning to Predict the Sulphur Content in the Hot Metal of a Coke-Fired Blast Furnace -- Automatic Instructional Feedback, and a Lecture Hub System: A Strategy towards Nurturing the Acquisition of a Structured Engagement Behavior.

This book constitutes the refereed post-proceedings of the 10th International Conference and 11th International Conference on Data Management Technologies and Applications, DATA 2021 and DATA 2022, was held virtually due to the COVID-19 crisis on July 6–8, 2021 and in Lisbon, Portugal on July 11-13, 2022. The 11 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: engineers and practitioners interested on databases, big data, data mining, data management, data security and other aspects of information systems and technology involving advanced applications of data.