Current Trends in Web Engineering: ICWE 2022 International Workshops, BECS, SWEET and WALS, Bari, Italy, July 5–8, 2022 Revised Selected Papers

Preface
Organization
Contents
Second International Workshop on Big Data Driven Edge Cloud Services (BECS 2022)
	Reliable and Data-driven AI Applications in Edge-Cloud Environments
	1 Introduction
	2 Keynotes
	3 Presentations
	Organization
	Workshop Co-chairs
	Technical Program Committee
CodeBERT Based Software Defect Prediction for Edge-Cloud Systems
	1 Introduction
	2 Background and Related Work
		2.1 Edge-Cloud System and Software Defect Prediction (SDP)
		2.2 Edge-Cloud System and Go Language
		2.3 CodeBERT and Just-In-Time (JIT) SDP
	3 Approach
		3.1 GHPR Crawler and GitHub Pull-Request (GHPR) Dataset
		3.2 CodeBERT Based JIT SDP
	4 Experimental Setup
		4.1 Research Questions
		4.2 Subject Projects
		4.3 Experimental Design
		4.4 Experimental Result
	5 Threats to Validity
		5.1 Internal Validity
		5.2 External Validity
		5.3 Construct Validity
	6 Conclusion
	References
A Novel Hybrid Approach for Localization in Wireless Sensor Networks
	1 Introduction
	2 Proposed Method
		2.1 Localization Using RSSI
		2.2 Localization Using Machine Learning
		2.3 Localization Through Multilateration
		2.4 The Hybrid Approach to Localization
	3 Evaluation
		3.1 Dataset and Simulated Environment
		3.2 Machine Learning (Random Forest) Localization
		3.3 Multilateration Localization
		3.4 The Hybrid Localization Approach
	4 Conclusion
	References
An Empirical Analysis on Just-In-Time Defect Prediction Models for Self-driving Software Systems
	1 Introduction
	2 Related Work
	3 Experimental Setup
		3.1 Research Question
		3.2 Dataset
		3.3 Evaluation Metrics
		3.4 Baseline Methods
	4 Experimental Result
		4.1 RQ1: How Well Do JIT Defect Prediction Approaches Perform on Self-driving Projects?
		4.2 RQ2: What Factors Affect Performance of Model that Performed Well in RQ1?
		4.3 RQ3: What Are the Important Features for JIT Defect Prediction on Self-driving Projects?
	5 Threats to Validity
	6 Conclusion
	References
Knowledge Sharing in Proactive WoT Multi-environment Models
	1 Introduction
	2 Motivation
	3 Knowledge Distillation in WoT Environments
	4 Validation
		4.1 Scenario
		4.2 Set-Up
		4.3 Results
	5 Related Works
	6 Conclusions
	References
Multivariate Time Series Anomaly Detection Based on Reconstructed Differences Using Graph Attention Networks
	1 Introduction
	2 Related Works
	3 Methods
		3.1 Problem Definition
		3.2 Encoder Architecture
		3.3 Graph Attention Mechanism Between Timestamps
		3.4 Vector and Matrices Multiplication
		3.5 Decoder Architecture
		3.6 Criterion for Detection
		3.7 Strategy for Setting Threshold Automatically
	4 Experiments
		4.1 Datasets
		4.2 Experiment Settings
	5 Results
		5.1 The Performance Comparison
		5.2 The Throughput Measurement of the Proposed Model
		5.3 Feedback and Refinement Process
	6 Conclusion
	References
First International Workshop on the Semantic WEb of Everything (SWEET 2022)
	Preface
A Decentralized Environment for Biomedical Semantic Content Authoring and Publishing
	1 Introduction and Background Work
	2 Proposed Methodology
		2.1 Terminology-Level Semantic Enrichment Process
		2.2 Structural-Level Semantic Enrichment Process
	3 A Decentralized Authoring and Publishing
	4 Results and Example Case Study
		4.1 Terminology Level
		4.2 Document Structural Level
	5 Conclusion
	References
AI for Food Waste Reduction in Smart Homes
	1 Introduction
	2 The Food Waste Reduction Architecture
	3 The FWR Architecture Implementation
		3.1 The Sensing Network
		3.2 The Actuation System
	4 Experimental Results
		4.1 Displacement Estimation and Scanning
		4.2 Navigation System Characterization
		4.3 Manipulation Routine Success Rate
	5 Conclusions
	References
Cowl: A Lightweight OWL Library for the Semantic Web of Everything
	1 Introduction and Motivation
	2 Related Work
	3 Knowledge Representation in the SWoE
		3.1 Architecture
		3.2 Optimizations
	4 Feasibility and Effectiveness
	5 Conclusion and Future Work
	References
Features and Capabilities of a Blockchain-Based Ridesharing Enhanced with Semantics
	1 Introduction
	2 Background: Hyperledger Sawtooth
	3 Knowledge Representation for Blockchain
		3.1 Knowledge-Based Distributed Ledgers
		3.2 Semantic-Enabled Smart Contracts
	4 RideMATCHain: An Advanced Ridesharing Service
	5 Time Series-Based Performance Analysis
		5.1 Components and Deployment
		5.2 Computed Metrics and Data Visualization
	6 Related Work
	7 Conclusion
	References
Semantic-Based Decision Support for Network Management and Orchestration
	1 Introduction
	2 Related Work
	3 Knowledge Representation for Software Defined Networks
		3.1 The YANG Knowledge Model
		3.2 Layer Interaction: Automatic Model Generation and Update
	4 Resource Orchestration: A Semantic-Based Approach
		4.1 Network Management: A Rule-Based Reasoning Approach
		4.2 Framework Architecture
	5 Early Validation
	6 Conclusion and Future Work
	References
Semantic Matchmaking for Argumentative Intelligence in Ubiquitous Computing
	1 Introduction
	2 Background
		2.1 Bipolar Weighted Argumentation
		2.2 The Semantic Web of Things
	3 Knowledge Representation, Reasoning and Argumentation
		3.1 Interpretable BWAF
		3.2 Weighting of Relations
	4 When Smart Objects Argue in the Street: A Case Study
	5 Related Work
	6 Conclusion and Perspective
	References
Smart District 4.0 Project: Validation of Results and Exploitation Perspectives
	1 Introduction: SD 4.0 Scenario and Validation Approach
	2 Pilot 1: Main Functionalities and Results Assessment
		2.1 Macro function (a): Digital Traceability Inherent with the Use of the Entire Maintenance Process
		2.2 Macro Function (b): Predictive Maintenance Models
		2.3 Results Assessment
	3 Pilot 2: Main Functionalities and Results Assessment
		3.1 Macro function (a): Process Digitization
		3.2 Macro Function (b): Virtual Assistant
		3.3 Validation Results
	4 Pilot 5: Main Functionalities and Results Assessment
		4.1 Macro Function (a): Digitization of the Subcontractor Management Process
		4.2 Macro Function (b): Sales Forecast and Recommendation Models
		4.3 Validation Results
	5 Pilot 6: Main Functionalities and Results Assessment
		5.1 Macro Function (a): Supervision Process Digitization
		5.2 Macro Functionalities (b): Predictive Models
		5.3 Validation of Results
	6 General Conclusions
	References
1st International Workshop on Web Applications for Life Sciences (WALS 2022)
	1st International Workshop on Web Applications for Life Sciences (WALS 2022)
CitrusGenome: A Bioinformatics Tool to Characterize, Visualize, and Explore Large Citrus Variant Datasets
	1 Introduction
	2 Motivation
	3 Data Model
	4 Data Preparation
	5 CitrusGenome Platform
	6 Using CitrusGenome
	7 Discussion
	References
The Laniakea Dashboard and Storage Encryption Components: A Foundation for Developing On-Demand Cloud Services for Life Science
	1 Background
	2 Implementation
		2.1 Laniakea
		2.2 The Laniakea Dashboard
		2.3 Implementation Details
		2.4 Storage Volumes Encryption Procedure
	3 Results
	4 Conclusions and Future Outlook
	References
Integration and Visual Analysis of Biomolecular Networks Through UNIPred-Web
	1 Introduction
	2 UNIPred-Web Architecture
	3 Integration and Visualization Functionalities
	4 Navigation and Aggregation Functionalities
	5 Concluding Remarks
	References
Author Index