New Trends in Database and Information Systems: ADBIS 2022 Short Papers, Doctoral Consortium and Workshops: DOING, K-GALS, MADEISD, MegaData, SWODCH, Turin, Italy September 5-8, 2022, Proceedings

Preface
Organization
Contents
ADBIS Short Papers: Data Understanding, Modeling and Visualization
On an Extensible Conceptual Data Model by a Non-formal Example
	1 Introduction
	2 Formal Bases
	3 An Extensible Conceptual Data Model
		3.1 Formalization of Hierarchical Relations
		3.2 Conceptual Schema
	4 Formal Semantics of Hierarchical Relations Algebra
	5 The Conceptual Data Model Extensibility Concept
		5.1 Non-formal Example of Extending the Conceptual Data Model
	6 Related Work
	7 Conclusions
	References
Understanding Misinformation About COVID-19 in WhatsApp Messages
	1 Introduction
	2 Related Work
	3 COVID-19.BR Data Set
	4 Understanding Misinformation About COVID-19 Using LIME and LIWC
		4.1 Applying LIME
		4.2 Applying LIWC
	5 Conclusion
	References
Automatic Inference of Taxonomy Relationships Among Legal Documents
	1 Introduction
	2 Related Work
	3 The Classification System
		3.1 Preliminaries
		3.2 Problem Statement
		3.3 Text Representations
		3.4 Classifiers
	4 Experimental Results
		4.1 Experimental Design
		4.2 Results Discussion
	5 Takeaways and Future Directions
	References
Visualisation of Numerical Query Results on Industrial Data Streams
	1 Introduction
	2 State of the Art
	3 The DISPLAY Operator
	4 Experimental Validation
	5 Conclusions and Contributions
	References
ADBIS Short Papers: Fairness in Data processing
Clustering-Based Subgroup Detection for Automated Fairness Analysis
	1 Introduction
	2 Related Work
	3 AI Fairness
		3.1 Subgroup Fairness Metrics
	4 Automatic Subgroup Detection
	5 Results
	6 Conclusion and Future Work
	References
Open Science in the Cloud: The CloudFAIR Architecture for FAIR-compliant Repositories
	1 Introduction
	2 The BigFAIR Architecture
	3 The CloudFAIR Architecture
	4 Performance Evaluation
		4.1 Queries Involving Different Storage Components
		4.2 Effect of the Number of Data Providers
	5 Conclusions and Future Work
	References
Detecting Simpson's Paradox: A Step Towards Fairness in Machine Learning
	1 Introduction
	2 Yule-Simpson's Paradox
	3 Detecting Simpson's Paradox
		3.1 Algorithm
	4 Experiments
		4.1 Datasets
	5 Discussion and Future Work
	6 Conclusion
	References
ADBIS Short Papers: Data Management Pipeline, Information and Process Retrieval
FusionFlow: An Integrated System Workflow for Gene Fusion Detection in Genomic Samples
	1 Introduction
	2 The Workflow
		2.1 Architecture
	3 Workflow Test and Discussion
	4 Conclusions
	References
ProSA Pipeline: Provenance Conquers the Chase
	1 Introduction
	2 Basics and Related Work
	3 The ProSA-Pipeline
		3.1 The Theory Behind ProSA
		3.2 The Steps of the ProSA Pipeline
		3.3 Implementing ProSA
	4 Conclusion
	References
A Tabular Open Data Search Engine Based on Word Embeddings for Data Integration
	1 Introduction
	2 Related Work
	3 Tabular Open Data Search and Integration with Word Embeddings
		3.1 Crawler
		3.2 Storage
		3.3 Microservice
		3.4 Web Application
	4 Using Search!
	5 Conclusions and Future Work
	References
The Use of M2P in Business Process Improvement and Optimization
	1 Introduction
	2 Related Works
	3 Preliminaries
		3.1 Business Process Management (BPM)
		3.2 Business Process Improvement
		3.3 Business Process Modelling
		3.4 Unified Modelling Language
		3.5 Model Transformation
	4 Contribution
		4.1 Transformation Table
		4.2 The Algorithm of Transformation
		4.3 Insurance Claim Case Study
	5 Conclusion and Future Works
	References
Embedding Process Structure in Activities for Process Mapping and Comparison
	1 Introduction
	2 Related Work
	3 Methods
	4 Case Study
		4.1 Settings
		4.2 Results
	5 Conclusions
	References
ADBIS Short Papers: Data Access Optimization
Bulk Loading of the Secondary Index in LSM-Based Stores for Flash Memory
	1 Introduction
	2 Bulk Loading of the Secondary Index
		2.1 LSM Tree
		2.2 Bulk Loading Outline
		2.3 Bulk Loading for Flash Memory
	3 Proposed Solution
	4 Experiments
	5 Conclusions
	References
Blink: Lightweight Sample Runs for Cost Optimization of Big Data Applications
	1 Introduction
	2 Related Work
	3 Background
	4 Efficient Sample Runs
		4.1 Size of Sample Runs
		4.2 Parallelism
		4.3 Cluster Configuration
		4.4 Number of Sample Runs
	5 Blink
		5.1 Sample Runs Manager
		5.2 Data Size Predictor
		5.3 Execution Memory Predictor
		5.4 Cluster Size Selector
	6 Evaluation
		6.1 Selected Cluster Size
		6.2 Overhead of Sample Runs
	7 Conclusion
	References
ADBIS Short Papers: Data Pre-processing and Cleaning
A RoBERTa Based Approach for Address Validation
	1 Introduction
	2 Related Work
		2.1 Address Parsing
		2.2 Address Classification
	3 Address Validation Approach
		3.1 Address Standardization
		3.2 Address Classification
	4 Evaluation
		4.1 Experimental Setting
		4.2 Address Parsing Evaluation
		4.3 Address Classification Evaluation
	5 Conclusion
	References
Empirical Comparison of Semantic Similarity Measures for Technical Question Answering
	1 Introduction
		1.1 Document Retrieval
		1.2 Technical Question Answering
		1.3 Semantic Similarity Measures
	2 Compared Methods
		2.1 Keyword Extraction Based Methods
		2.2 Word Vector Based Methods
		2.3 Deep Learning Based Methods
	3 Computational Comparison
		3.1 Evaluation Data
		3.2 Evaluation Measures
		3.3 Results
	4 Conclusion and Further Works
	References
Denoising Architecture for Unsupervised Anomaly Detection in Time-Series
	1 Introduction
	2 Related Work
	3 Unsupervised Time-Series Anomaly Detection
	4 Anomaly Detection Using LSTM Autoencoder
	5 The Denoising Architecture
	6 Experimental Results
		6.1 Datasets
		6.2 Experimental Setup
		6.3 Benchmarking Results
	7 Conclusion
	References
Discretizing Numerical Attributes: An Analysis of Human Perceptions
	1 Introduction
	2 Related Work
	3 Motivation
	4 The LSQM Method
	5 Experimental Design
	6 Analysis and Result
	7 Conclusion
	References
ADBIS Short Papers: Modeling and Querying of Graph Databases
Interactive Knowledge Graph Querying Through Examples and Facets
	1 Introduction
	2 Model
		2.1 Knowledge Graphs
		2.2 Interaction Model
		2.3 Multiple Semantics for User Interactions
	3 Optimizing the Interaction
		3.1 Assuming Known Probabilities
		3.2 Estimating the Probabilities
	4 Related Work
	References
It's Too Noisy in Here: Using Projection to Improve Differential Privacy on RDF Graphs
	1 Introduction
	2 Background: Differential Privacy
		2.1 Definition of Differential Privacy
		2.2 Noise Calibration
		2.3 Sensitivity and Privacy on (Bounded QL-Out-Degree) Graphs
	3 Related Work
		3.1 Models and Distances for DP on Graphs
		3.2 Applying DP on Graphs
		3.3 Privacy over RDF
	4 Proposed Approach: From a Subspace with Low-Sensitivity Queries to G
		4.1 Proposed Projection Method
		4.2 Privacy and Projections
		4.3 Privacy on Unbounded Graphs Through Projection
	5 Analytical and Experimental Evaluation
		5.1 Considered Query and Interest of the Approach
		5.2 Overall Utility of the Approach
	6 Conclusion
	References
Modeling and Querying Sensor Networks Using Temporal Graph Databases
	1 Introduction and Related Work
	2 Background and Preliminary Definitions
	3 Temporal Graphs for Sensor Networks
	4 Temporal Paths in Sensor Networks
	5 Computing the Paths
	6 Conclusion and Future Work
	References
Indexing Continuous Paths in Temporal Graphs
	1 Introduction
	2 Background
	3 An Index for Continuous Paths: TGIndex
	4 Using the Index
	5 Experimental Evaluation
	6 Conclusion
	References
ADBIS Short Papers: Data Science and Machine Learning
Unsupervised Extractive Text Summarization Using Frequency-Based Sentence Clustering
	1 Introduction
	2 Related Works
	3 Proposal
		3.1 Linguistic Pre-processing
		3.2 Sentence Feature Vector Representation
		3.3 Sentence Clustering
		3.4 Summary Building
	4 Experimental Evaluation
		4.1 Prototype Implementation
		4.2 Experimental Metrics
		4.3 Experimental Data
		4.4 Experimental Results
	5 Conclusion
	References
Experimental Comparison of Theory-Guided Deep Learning Algorithms
	1 Introduction
	2 Related Works
		2.1 Knowledge Source
		2.2 Knowledge Representation
		2.3 Knowledge Integration
	3 Datasets and Methods
		3.1 Lake Temperature
		3.2 Convective Movements in Climate Modeling
	4 Experimental Results
	5 Conclusions
	References
Hyper-parameters Tuning of Artificial Neural Networks: An Application in the Field of Recommender Systems
	1 Introduction
	2 Related Work
	3 Background
		3.1 Activation Functions
		3.2 Weight Initialization
	4 Experiments
		4.1 Datasets
		4.2 Evaluation Metrics
		4.3 CiteULike Experiments in Recommendation of Scientific Publications
		4.4 AMiner Citation Network Experiments
	5 Discussion of the Experimental Results
	6 Conclusion and Future Work
	References
Exploring Latent Space Using a Non-linear Dimensionality Reduction Algorithm for Style Transfer Application
	1 Introduction
	2 Related Work
	3 Methodology
	4 Experimental Validation
		4.1 The Dataset
		4.2 Visualization
		4.3 Comparing the Results
	5 Evaluation
		5.1 Survey Results
		5.2 Survey Validation
	6 Discussion and Future Directions
	References
A Novel Method for University Ranking: Bounded Skyline
	1 Introduction
	2 Skyline and Rainbow Ranking
	3 Motivation
	4 Experiments
	5 Conclusion
	References
QLDT: A Decision Tree Based on Quantum Logic
	1 Introduction and Related Work
	2 Commuting Quantum Query Language (CQQL)
	3 Extraction of Minterms and Finding the Output Threshold
	4 Quantum Logic Decision Tree
	5 Experiment
	6 Conclusion
	References
DOING: 3rd Workshop on Intelligent Data – From Data to Knowledge
	DOING: 3rd Workshop on Intelligent Data – From Data to Knowledge
	Workshop Chairs
	Program Committee Members
	Additional Reviewer
Using Provenance in Data Analytics for Seismology: Challenges and Directions
	1 Introduction
	2 Related Work
	3 Motivation Use Case
	4 Exploring Geophysics Data Guided by Provenance
	5 Conclusion and Future Work
	References
Storing Feature Vectors in Relational Image Data Warehouses
	1 Introduction
	2 Processing the Similarity Search Predicate in Spark
	3 Designing Image Data Warehouses
	4 Experimental Evaluation
	5 Guidelines for Designing Image Data Warehouses
	6 Conclusions and Future Work
	References
Automatic Classification of Stigmatizing Articles of Mental Illness: The Case of Portuguese Online Newspapers
	1 Introduction
	2 Background
	3 Methodology
		3.1 Data Collection
		3.2 Filtering and Manual Data Annotation
		3.3 Preprocessing
		3.4 Automatic Classification and Topic Modeling
	4 Results and Discussion
	5 Conclusion
	References
A Multiplex Network Framework Based Recommendation Systems for Technology Intelligence
	1 Introduction
	2 Related Work
	3 Our Approach
		3.1 Multiplex Network
		3.2 Multiplex Networks Modeling
		3.3 Manipulations with Neo4j
		3.4 Workflow of Recommendations
	4 Conclusion
	References
Relation Extraction from Clinical Cases for a Knowledge Graph
	1 Introduction
	2 Related Work
	3 Corpus and Entity Extraction
	4 Typology of Relations
	5 Rule-Based Relation Extraction
	6 Experimental Results
	7 Conclusions
	References
Privacy Operators for Semantic Graph Databases as Graph Rewriting
	1 Introduction and Related Work
	2 Background and Setting
		2.1 Attributed Multigraphs
		2.2 Running Example and Motivation
		2.3 Graph Rewriting Rules
	3 Operators
		3.1 Blank Node Creation
		3.2 Randomized Edge Selection for Local Differential Privacy
	4 Conclusion
	References
K-GALS: 1st Workshop on Knowledge Graphs Analysis on a Large Scale
	K-GALS: 1st Workshop on Knowledge Graphs Analysis on a Large Scale
	Workshop Chairs
	Program Committee Members
A Collaborative Filtering Approach for Drug Repurposing
	1 Introdution
	2 Methods
		2.1 Pipeline
		2.2 Implementation of the Recommendation System
		2.3 Visualization
	3 Preliminary Results
	4 Conclusion
	References
A Review: Biological Insights on Knowledge Graphs
	1 Introduction
	2 Knowledge Graphs in Bioinformatics
		2.1 Methods of Knowledge Graph Embedding
	3 Open Research Problems
		3.1 Construction and Integration of Knowledge Graphs
		3.2 Performance
		3.3 Explainable Predictions
	4 Discussion and Conclusion
	References
CiteRank: A Method to Evaluate Researchers Influence Based on Citation and Collaboration Networks
	1 Introduction
	2 Related Works
	3 Method
		3.1 Citation Network
		3.2 The PageRank Algorithm
		3.3 From PageRank to CiteRank
	4 Experimental Analysis
	5 Conclusion
	References
MADEISD: 4th Workshop on Modern Approaches in Data Engineering and Information System Design
	MADEISD: 4th Workshop on Modern Approaches in Data Engineering and Information System Design
	Workshop Chairs
	Program Committee Members
Abstract Machine for Operational Semantics of Domain-Specific Language
	1 Introduction
	2 Domain-Specific Languages and Language for Robot
	3 Abstract Machine for DSL – Theory and Development of Method
	4 Application Design
	5 Functionality of Application
	6 Conclusion
	References
Machine Learning-Based Model Categorization Using Textual and Structural Features
	1 Introduction
	2 Literature Review
	3 Proposed Approach
		3.1 Pre-processing
		3.2 Feature Vectorization
		3.3 Baseline Machine Learning Algorithms
	4 Experimental Study
		4.1 Evaluation Metrics
		4.2 Implementation Details
		4.3 Experimental Results
	5 Conclusion
	References
Architecture Design of a Networked Music Performance Platform for a Chamber Choir
	1 Introduction and Related Work
		1.1 Real-Time Communication
		1.2 In-Person Music Performance
		1.3 Networked Music Performance
		1.4 Contribution
	2 Experimental Setup
		2.1 Zoom@Home Architecture: A Simple Conferencing Tool
		2.2 Jamulus@Home Architecture: NMP with Choristers at Home
		2.3 Jamulus@University Architecture: Low-Latency Audio + Video, Choristers and Conductor at the University
	3 Results
		3.1 Assessment of the Zoom@Home Architecture
		3.2 Assessment of the Jamulus@Home Architecture
		3.3 Assessment of the Jamulus@University Architecture
		3.4 Statistical Analysis
		3.5 Proposed Architecture, Recommendations and Good Practices
	4 Summary
	References
Defining Software Architecture Modalities Based on Event Sourcing Architecture Pattern
	1 Introduction
		1.1 Command Query Responsibility Segregation - CQRS
		1.2 Event Sourcing
		1.3 Mediator
		1.4 Service Fabric
	2 Proposed Software Architecture
		2.1 Modality 1
		2.2 Modality 2
		2.3 Modality 3
	3 Conclusion
	References
Supporting Data Types in Neo4j
	1 Introduction
	2 Literature Overview
	3 Data Types
	4 Implementation of Custom Data Types in Neo4j
		4.1 Implementation Using SHACL Validation
		4.2 Implementation Using APOC Trigger
		4.3 Comparation of Two Suggested Implementations
	5 Discussion
	6 Conclusion
	References
Systematic Literature Review for Emotion Recognition from EEG Signals
	1 Introduction
	2 Literature Review Process Design and Execution
	3 Results
		3.1 Datasets
		3.2 Electrodes
		3.3 EEG Features and Features Extraction Methods
		3.4 Feature Selection Methods
		3.5 Emotions
		3.6 Algorithms
	4 Summary
	References
Semantically-Driven Secure Task Execution over Wireless Sensor Networks
	1 Introduction
	2 Related Work
	3 Contribution
		3.1 Onion Routing for Secure Task Execution over WSN
		3.2 Query Construction and Execution
	4 Evaluation and Results
	5 Conclusion
	References
MegaData: 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics
	MegaData: 2nd Workshop on Advanced Data Systems Management, Engineering, and Analytics
	Workshop Chairs
	Program Committee Members
Stored and Inherited Relations with PKN Foreign Keys
	1 Introduction
	2 Natural SIRs
		2.1 SIRs by Example
		2.2 Foreign Keys for SIRs
		2.3 Basic Natural SIRs
		2.4 Compound Natural SIRs
		2.5 Inferring Explicit Schemes of Natural SIRs
	3 SIRs with PKN FKs and Explicit IAs
	4 Altering SIRs with FKs
	5 Implementing SIRs
	6 Conclusion
	References
Implementing the Comparison-Based External Sort
	1 Introduction
	2 Background
	3 Related Work and Motivation
		3.1 Related Work
		3.2 Motivation
	4 Proposed Solution
		4.1 PosDB Basics
		4.2 Operator Implementation
	5 Experiments
	6 Conclusion
	References
Document Versioning for MongoDB
	1 Introduction
	2 Related Work
	3 The Versioning Solution
		3.1 The Document Versioning Pattern
		3.2 Implementation
	4 Evaluation
	5 Conclusion
	References
SWODCH: 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage
	SWODCH: 2nd Workshop on Semantic Web and Ontology Design for Cultural Heritage
	Workshop Chairs
	Program Committee Members
Developing and Aligning a Detailed Controlled Vocabulary for Artwork
	1 Introduction
	2 Related Work
	3 Materials: ICCD Controlled Vocabularies and ArCo KG Textual Descriptions
	4 Methodology
		4.1 Matching and Alignment Algorithm
		4.2 Linking with Getty's AAT
	5 Results and Evaluation
		5.1 Evaluation of the Text Matching and Alignment Algorithm
		5.2 Evaluation of the Linking with the Getty's AAT Vocabulary
	6 Conclusion and Future Work
	References
Using Wikibase for Managing Cultural Heritage Linked Open Data Based on CIDOC CRM
	1 Introduction
	2 Related Work
	3 WB-CIDOC – Wikibase for CIDOC CRM
	4 Case WarSampo – Finnish World War II Data
	5 Discussion
	References
Megalithism Representation in CIDOC-CRM
	1 Introduction
	2 CIDOC CRM
	3 Defining Megalithism
	4 Discussion
	References
Ontology for Analytic Claims in Music
	1 Introduction
	2 Musical Works: A (Partial) Review of the State of the Art
	3 Ontology for Analytic Claims in Music (OMAC)
		3.1 OMAC – Musical Work Module
		3.2 OMAC – Analytic Claim Module
	4 Conclusions
	References
Testing the Word-Based Model in the Ontological Analysis of Modern Greek Derivational Morphology
	1 Introduction
	2 Morphological Analysis
	3 Ontological Analysis
	4 Discussion
	5 Conclusion and Future Research
	References
Analyses of Networks of Politicians Based on Linked Data: Case ParliamentSampo – Parliament of Finland on the Semantic Web
	1 Introduction
	2 Related Works
	3 A Data Model and Service for Speech Networks
	4 Analyzing Networks of Politicians
	5 Discussion
	References
Neural Word Sense Disambiguation to Prune a Large Knowledge Graph of the Italian Cultural Heritage
	1 Introduction
	2 Motivations and Related Work
	3 Approach
	4 Evaluation
	5 Conclusions
	References
Doctoral Consortium
	Workshop Chairs
	Program Committee Members
Querying Sensor Networks Using Temporal Property Graphs
	1 Introduction
	2 The Proposed Approach
	3 Results
	4 Future Work and Conclusion
	References
Formalization of Data Integration Transformations
	1 Introduction
	2 Information Preservation
	3 Related Work
	4 Transformation Patterns
		4.1 Definition
		4.2 Example
	5 Expanding the Catalogue
	6 Conclusion and Future Work
	References
Models and Query Languages for Temporal Property Graph Databases
	1 Problem Statement and Motivation
	2 Related Work
	3 Our Approach and First Results
	4 Current Work and Open Problems
	5 Conclusion
	References
Termination and Confluence of an Extended CHASE Algorithm
	1 Introduction and Motivation
	2 Formalizing Problems in Terms of the CHASE
	3 Main Tasks of the PhD Thesis
	4 Related Work
	5 The CHASE Algorithm
		5.1 Introduction to CHASE Extensions Using Matrix Addition as an Example
		5.2 Confluence and Termination of the Example
	6 Conclusions and Future Work
	References
Towards Prescriptive Analyses of Querying Large Knowledge Graphs
	1 Introduction
	2 State of the Art
	3 Methodology
	4 Proposed Approach
		4.1 Assessing the Replicability (Micro1 (1))
		4.2 Deciding over Complex Solution Space (Micro2 (2))
		4.3 Employing the Query Workload (Micro3 (3))
	5 Results
		5.1 Replicability Results
		5.2 Results of BenchRank Criteria
	6 Conclusion and Future Work
	References
Knowledge Extraction from Biological and Social Graphs
	1 Introduction
		1.1 Social Networks
		1.2 Precision Medicine
	2 State of the Art
		2.1 Optimization of Advertising Campaigns
		2.2 Node/Edge Centrality Measures in the Biological Context
		2.3 Prediction of lncRNA-Diseases Associations
	3 Methods
		3.1 Big Data Technologies
		3.2 Optimization of Advertising Campaigns
		3.3 Node/Edge Centrality Measures in the Biological Context
		3.4 Prediction of lncRNA-Diseases Associations
	4 Results
		4.1 Optimization of Advertising Campaigns
		4.2 Node/Edge Centrality Measures in the Biological Context
		4.3 Prediction of lncRNA-Diseases Associations
	5 Conclusion and Future Work
	References
Digital Twins for Urban Mobility
	1 Introduction
	2 Traffic and Air Quality Digital Twin
		2.1 Data Collection
		2.2 Simulation Models
		2.3 Data Visualization
	3 Graph-Based Multi-modal Mobility Digital Twin
		3.1 The Road Network Layers
		3.2 The Cycle Paths Network Layer
		3.3 The Public Transport Network Layer
	4 Conclusions
	References
Author Index