This book explores various aspects of data engineering and information processing. In this second volume, the authors assess the challenges and opportunities involved in doing business with information. Their contributions on business information processing and management reflect diverse viewpoints – not only technological, but also business and social.

As the global marketplace grows more and more complex due to the increasing availability of data, the information business is steadily gaining popularity and has a huge impact on modern society. Thus, there is a growing need for consensus on how business information can be created, accessed, used and managed. 

This book provides solutions to manage information competently in order to increase its business usage. The information/knowledge business is a highly-dynamic evolving industry, and the novel methodologies and practices for the business information processing, as well as application of mathematical models to the business analytics and efficient management, are the most essential for the decision-making and further development of this field.

Consequently, in this series subline first volume, the authors study challenges and opportunities, as well as embrace different aspects of business information processing for an efficient enterprise management. The authors cover also methods and techniques, as well as strategies for the efficient business information processing for management. Besides, the authors analyse strategies for lowering business information/data loss, while improving customer satisfaction and maintenance levels. The major goal is to analyse the key aspects of managerial implications on the informational business on the continuous basis.

The book delivers an elaboration of multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. In this book, we continue to provide a critical look at the information management in business organizations by exploring knowledge aspects from theoretical and practical perspectives. The compilation of chapters presented in this book helps to define the range of activities, identify areas for future research, and draw practical conclusions. The variety of industrial sectors examined supports continuous gaining and usage of an efficient business analysis in organizations.

This book presents a combination of chapters assembled in different fields of expertise. The book examines different aspects of business knowledge from a philosophical and practical standpoint. This data helps modern organizations by providing valuable insights and suggestions for future research and results. The increasing number of business disciplines studied necessitates implementing effective analytics practices within organizations. This book explores disciplinary and multidisciplinary concepts and practical techniques to help analyze the evolving field.

By highlighting ongoing progress in structural management, this book of our subseries encourages further research regarding the subject. Companies need sustainable solutions to the pressure to deal with high levels of risk and uncertainty. Many companies face this challenge and, therefore, must find new ways to deal with it. These solutions are often based on digital-influenced techniques. Previously understood knowledge, technologies, and data provide a huge assist with this goal.

The two-volume set LNCS 15342 and 15343 constitutes the refereed proceedings of the 26th International Conference on Information Integration and Web Intelligence, iiWAS 2024, held in Bratislava, Slovak Republic, during December 2–4, 2024.

The 27 revised full papers and 25 short papers are presented in these proceedings were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections:

Volume I: Web Intelligence, Language Models, and AI-based Question Answering; Blockchain, Peer Reviews, and Digital Transparency; Machine Learning in Healthcare, Climate Change, and Human Behavior; Sequence and Similarity Search Techniques; and Knowledge Graphs, Databases, and Ontologies.

Volume II: Recommender Systems and Data Personalization; Digital Forensics, Journalism, and Echo Chambers; Human-Computer Interaction, Music Therapy, and User-Centric Systems; and Environmental and Geological Data Science.

The two-volume set LNCS 15342 and 15343 constitutes the refereed proceedings of the 26th International Conference on Information Integration and Web Intelligence, iiWAS 2024, held in Bratislava, Slovak Republic, during December 2–4, 2024.

The 27 revised full papers and 25 short papers are presented in these proceedings were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections:

Volume I: Web Intelligence, Language Models, and AI-based Question Answerin; Blockchain, Peer Reviews, and Digital Transparency; Machine Learning in Healthcare, Climate Change, and Human Behavior; Sequence and Similarity Search Techniques; and Knowledge Graphs, Databases, and Ontologies.

Volume II: Recommender Systems and Data Personalization; Digital Forensics, Journalism, and Echo Chambers; Human-Computer Interaction, Music Therapy, and User-Centric Systems; and Environmental and Geological Data Science.

This book discusses processes and procedures in information/data processing and management. The global market is becoming more and more complex with an increased availability of data and information, and as a result doing business with information is becoming more popular, with a significant impact on modern society immensely. This means that there is a growing need for a common understanding of how to create, access, use and manage business information. As such this book explores different aspects of data and information processing, including information generation, representation, structuring, organization, storage, retrieval, navigation, human factors in information systems, and the use of information. It also analyzes the challenges and opportunities of doing business with information, and presents various perspectives on business information managing.

This book provides the latest research findings, and discusses, from both theoretical and practical perspectives, innovative research methods and development techniques related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems and secure intelligent cloud systems. It also presents the synergies among various paradigms in such a multi-disciplinary field of intelligent collaborative systems.

With the rapid development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very centre of networks and exploits the value of individuals’ connections, relations and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems.

This book explores various aspects of data engineering and information processing. In this second volume, the authors assess the challenges and opportunities involved in doing business with information. Their contributions on business information processing and management reflect diverse viewpoints – not only technological, but also business and social.

As the global marketplace grows more and more complex due to the increasing availability of data, the information business is steadily gaining popularity and has a huge impact on modern society. Thus, there is a growing need for consensus on how business information can be created, accessed, used and managed. 

This book provides solutions to manage information competently in order to increase its business usage. The information/knowledge business is a highly-dynamic evolving industry, and the novel methodologies and practices for the business information processing, as well as application of mathematical models to the business analytics and efficient management, are the most essential for the decision-making and further development of this field.

Consequently, in this series subline first volume, the authors study challenges and opportunities, as well as embrace different aspects of business information processing for an efficient enterprise management. The authors cover also methods and techniques, as well as strategies for the efficient business information processing for management. Besides, the authors analyse strategies for lowering business information/data loss, while improving customer satisfaction and maintenance levels. The major goal is to analyse the key aspects of managerial implications on the informational business on the continuous basis.

The book delivers an elaboration of multidisciplinary concepts, examples, and practices that can be useful for researching the evolution of developments in the field. In this book, we continue to provide a critical look at the information management in business organizations by exploring knowledge aspects from theoretical and practical perspectives. The compilation of chapters presented in this book helps to define the range of activities, identify areas for future research, and draw practical conclusions. The variety of industrial sectors examined supports continuous gaining and usage of an efficient business analysis in organizations.

This book presents a combination of chapters assembled in different fields of expertise. The book examines different aspects of business knowledge from a philosophical and practical standpoint. This data helps modern organizations by providing valuable insights and suggestions for future research and results. The increasing number of business disciplines studied necessitates implementing effective analytics practices within organizations. This book explores disciplinary and multidisciplinary concepts and practical techniques to help analyze the evolving field.

By highlighting ongoing progress in structural management, this book of our subseries encourages further research regarding the subject. Companies need sustainable solutions to the pressure to deal with high levels of risk and uncertainty. Many companies face this challenge and, therefore, must find new ways to deal with it. These solutions are often based on digital-influenced techniques. Previously understood knowledge, technologies, and data provide a huge assist with this goal.

The two-volume set LNCS 15342 and 15343 constitutes the refereed proceedings of the 26th International Conference on Information Integration and Web Intelligence, iiWAS 2024, held in Bratislava, Slovak Republic, during December 2–4, 2024.

The 27 revised full papers and 25 short papers are presented in these proceedings were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections:

Volume I: Web Intelligence, Language Models, and AI-based Question Answering; Blockchain, Peer Reviews, and Digital Transparency; Machine Learning in Healthcare, Climate Change, and Human Behavior; Sequence and Similarity Search Techniques; and Knowledge Graphs, Databases, and Ontologies.

Volume II: Recommender Systems and Data Personalization; Digital Forensics, Journalism, and Echo Chambers; Human-Computer Interaction, Music Therapy, and User-Centric Systems; and Environmental and Geological Data Science.

The two-volume set LNCS 15342 and 15343 constitutes the refereed proceedings of the 26th International Conference on Information Integration and Web Intelligence, iiWAS 2024, held in Bratislava, Slovak Republic, during December 2–4, 2024.

The 27 revised full papers and 25 short papers are presented in these proceedings were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections:

Volume I: Web Intelligence, Language Models, and AI-based Question Answerin; Blockchain, Peer Reviews, and Digital Transparency; Machine Learning in Healthcare, Climate Change, and Human Behavior; Sequence and Similarity Search Techniques; and Knowledge Graphs, Databases, and Ontologies.

Volume II: Recommender Systems and Data Personalization; Digital Forensics, Journalism, and Echo Chambers; Human-Computer Interaction, Music Therapy, and User-Centric Systems; and Environmental and Geological Data Science.

This book discusses processes and procedures in information/data processing and management. The global market is becoming more and more complex with an increased availability of data and information, and as a result doing business with information is becoming more popular, with a significant impact on modern society immensely. This means that there is a growing need for a common understanding of how to create, access, use and manage business information. As such this book explores different aspects of data and information processing, including information generation, representation, structuring, organization, storage, retrieval, navigation, human factors in information systems, and the use of information. It also analyzes the challenges and opportunities of doing business with information, and presents various perspectives on business information managing.

This book provides the latest research findings, and discusses, from both theoretical and practical perspectives, innovative research methods and development techniques related to intelligent social networks and collaborative systems, intelligent networking systems, mobile collaborative systems and secure intelligent cloud systems. It also presents the synergies among various paradigms in such a multi-disciplinary field of intelligent collaborative systems.

With the rapid development of the Internet, we are experiencing a shift from the traditional sharing of information and applications as the main purpose of the Web to an emergent paradigm, which locates people at the very centre of networks and exploits the value of individuals’ connections, relations and collaboration. Social networks are also playing a major role in the dynamics and structure of intelligent Web-based networking and collaborative systems.