Transactions on Large-Scale Data- and Knowledge-Centered Systems XLVII: Special Issue on Digital Ecosystems and Social Networks

✍ Scribed by Abdelkader Hameurlain; A Min Tjoa; Richard Chbeir

• Publisher: Springer Nature
• Year: 2021
• Tongue: English
• Leaves: 247
• Category: Library

✦ Synopsis

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. This, the 47th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, constitutes a special issue focusing on Digital Ecosystems and Social Networks. The 9 revised selected papers cover topics that include Social Big Data, Data Analysis, Cloud-Based Feedback, Experience Ecosystems, Pervasive Environments, and Smart Systems.

✦ Table of Contents

Preface
Organization
Contents
Mapping Experience Ecosystems as Emergent Actor-Created Spaces
1 Introduction
2 Reference Models
3 The Space of Relationships
4 Design Practice and Complexity
5 Reductionist, Holistic, and Systemic
6 Transition to Systemic
7 Digimodernism, Embodiment, and a Postdigital Culture
8 Experience Ecosystems
9 Design Process for Experience Ecosystems
9.1 “Better Courses”
10 Conclusions and Further Research
References
A Semantic-Based Strategy to Model Multimedia Social Networks
1 Introduction
2 Related Work
3 The Proposed Model
3.1 Model Description
3.2 Metrics
3.3 Examples
4 Case Study
4.1 Functionalities
5 Conclusion and Future Work
References
Social Big Data: Concepts and Theory
1 Big Data
1.1 Features of Big Data
1.2 Real-World Data
1.3 Open Data
1.4 Social Data
2 Social Big Data
2.1 Interaction Between Social Big Data
2.2 Universal Key
2.3 Ishikawa Concept
2.4 General Flow of Using Social Big Data
2.5 Fourth V of Social Big Data
3 Model-Based Approach to Hypothesis Generation
3.1 Hypothesis Definition
3.2 Method of Hypothesis Generation
3.3 Related Research
4 Conclusion
Appendix Social Big Data Model
References
Social Big Data: Case Studies
1 Case Studies in Social Big Data
2 Tourism Application: Bargain Spot Discovery
3 Tourism Application: Meaning Representation of Tourism Resource Name
4 Tourism Application: Estimation of the Best Time for Seeing Cherry Blossoms
5 Tourism Application: Discovery of Free Wi-Fi Candidate Spot for Installation
6 Tourism Application: International Cuisine Notation System Based on Analogy Between Similar Cuisines
7 Scientific Application: Automatic Discovery of Crater with Central Peak
8 Tourism Application: Influence of Topics to Regions
9 Disaster Mitigation Application: Discovery of Risky Evacuation Route
10 Conclusion
References
Data Analysis in Social Network: A Case Study
1 Introduction
2 Related Works
3 Design Framework
4 Mathematical Explanations
5 Experimental Results
5.1 Data Analysis for Overall System Network
5.2 CPU Load in Idle and Full Load Conditions
5.3 Memory Load in Idle and Full Load Conditions
5.4 Available Memory in Idle and Full Load Conditions
5.5 Used Memory Load in Idle and Full Load Conditions
5.6 Used Space in Memory in Idle and Full Load Conditions
5.7 JMeter Based Data Analysis
5.8 Comparison Based on Average Response Time and Average Turnaround Time
6 Conclusion
References
Smart Services Using Voice and Images
1 Introduction
2 Smart Systems Through Voice
3 Smart Services in the Medical Field Through Voice
4 Smart Systems in Robotics Using Voice and Emotion Recognition
5 Smart Systems in Robotics Using Voice Jitter
6 Smart Systems in Entertainment Using Emotions
7 Smart Services for Finding Similarity in Images
8 Smart Services for Extracting Higher-Level Visual Features
9 Smart Services for Image Data Mining
10 Smart Services for Artist Identification
11 Smart Services for Autonomous Cars
12 Smart Services for Finding Parking Slot
13 Smart Services for Video Filtering
14 Conclusion
References
Big Spatial and Spatio-Temporal Data Analytics Systems
1 Introduction
2 Parallel and Distributed Architectures
2.1 Apache Hadoop
2.2 Apache Spark
3 Big Spatial and Spatio-Temporal Data Analytics Systems
3.1 SpatialHadoop
3.2 GeoSpark
3.3 ST-Hadoop
3.4 STARK
3.5 Comparison of Systems
4 More Big Spatial and Spatio-Temporal Data Analytics Systems
4.1 Hadoop-Based Big Spatial Data Analytics Systems
4.2 Spark-Based Big Spatial Data Analytics Systems
4.3 Hadoop-Based Big Spatio-Temporal Data Analytics Systems
4.4 Spark-Based Big Spatio-Temporal Data Analytics Systems
5 Conclusions
References
Cloud Based e-Feedback Services Using Performance Analysis: A Linear Approach
1 Introduction
2 Literature Review
3 Proposed Work
3.1 Structural Design
3.2 Detailed Design of Framework Modules
3.3 Functional Communications Within Server-Side Network
3.4 Procedures
3.5 Theoretical Discussions
3.6 Analysis on Energy Efficient Framework
4 Experimental Discussion
4.1 Overview
4.2 Experimental Setup
4.3 Observations
4.4 Time Analysis
4.5 Load Analysis
4.6 Space Analysis
4.7 Energy Efficient System
4.8 Comparative Analysis
5 Conclusion
References
Semantic-Based Automatic Generation of Reconfigurable Distributed Mobile Applications in Pervasive Environments
1 Introduction
2 Related Works and Objectives
3 Proposed Approach
3.1 Framework’s General Architecture
3.2 Framework’s Functional Model
4 Prototype and Experimental Results
4.1 Prototype Implementation
4.2 Prototype Evaluation
4.3 Experimental Evaluation
5 Conclusion
References
Author Index