Text, Speech, and Dialogue
This conference volume constitutes the proceedings of the 28th International Conference on Engineering on Text, Speech, and Dialogue, TSD 2025, held in Erlangen, Germany, in August 2025. The 60 full papers were presented in this volume were carefully reviewed and selected from 122 submissions. They focus on speech and language technologies and computer processing of speech and language related data.
Database and Expert Systems Applications
The two-volume set LNCS 16046-16047 constitutes the proceedings of the 36th International Conference on Database and Expert Systems Applications, DEXA 2025, held in Bangkok, Thailand, in August 25-27, 2025. The 35 full and 22 short papers presented in this set together with 3 invited talks were carefully reviewed and selected from 123 submissions. They were organized in topical sections as follows: Part I: Industrial Keynote; Invited Talks; Large Language Models; Data Quality; Machine Learning /Artificial Intelligence Applications; Classification Techniques. Part II: Image Processing, Analytics, and Vision Systems; Recommender Techniques; Data Integration; Optimisation Methods; Graph Applications; Analytics; Security/Privacy; Benchmarks and Surveys.
Text, Speech, and Dialogue
This conference volume constitutes the proceedings of the 28th International Conference on Engineering on Text, Speech, and Dialogue, TSD 2025, held in Erlangen, Germany, in August 2025. The 60 full papers were presented in this volume were carefully reviewed and selected from 122 submissions. They focus on speech and language technologies and computer processing of speech and language related data.
Big Data Analytics and Knowledge Discovery
This book constitutes the proceedings of the 27th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2025, held in Bangkok, Thailand, during August 25-27, 2025. The 12 full and 14 short papers included in the proceedings were carefully reviewed and selected from 62 submissions. The proceedings also contain one keynote talk, one invited talk and one tutorial. The papers were organized in topical sections as follows: Data mining and knowledge discovery; sequential data analytics and recommendation systems; graph data processing and analytics; data management and indices; Large language Models (LLMs); and Neural Networks.
Database and Expert Systems Applications - Dexa 2025 Workshops
This volume constitutes the refereed proceedings of the 7th International Workshop on AI System Engineering: Math, Modelling and Software, AISys 2025 and the First International Workshop on Optimisation of Industrial Production with AI Algorithms, AI4IP, co-located with the 36th International Conference on Database and Expert Systems Applications, DEXA 2025, which took place in Bangkok, Thailand, during August 25-27, 2025.The 11 full papers were thoroughly reviewed and selected from a total of 23 submissions. They are organized in topical sections as follows: AI System Engineering: Math, Modelling and Software; and Optimization of Industrial Production with AI Algorithms.
Blockchain Technology
This new volume, Blockchain Technology: Unlocking the Value of 3Ts in the Business World, explores the role of blockchain technology in promoting higher effectiveness in new business modeling in different industries, considering it as a key enabler of Industry 5.0 solutions that incorporate lean, transparent, traceable, and trustworthy mechanisms not only in logistics but also in other aspects of business processes.The volume looks at the incorporation of blockchain technology, often in conjunction with artificial intelligence, in diverse business sectors. Chapters look at the use of blockchain technology in the banking and finance sector; in the fashion industry; in the tourism, travel, and hospitality industries; in the national defense industry; for advertising and marketing; and, of course, in the logistics industry for enhancing green supply chains with blockchain technology, where it is being used to bring new levels of trust between trading partners and to promote end-to-end visibility.The volume looks at how blockchain technology is revolutionizing many industries by providing the means to automate processes, eliminate intermediaries, and provide real-time data access, thus reducing administrative burdens, minimizing errors, and improving overall efficiency.
Fundamentals of Metadata Management
Whether it's to adhere to regulations, access markets by meeting specific standards, or devise data analytics and AI strategies, companies today are busy implementing metadata repositories--metadata tools about the data, information, and knowledge in your company. Until now, most of these repositories have been implemented in isolation from one another, but this practice is at the core of problems with metadata management at large in many companies today. Author Ole Olesen-Bagneux, chief evangelist at Zeenea, shows you how to masterfully manage your metadata repositories by properly coordinating them. That will help you and your organization democratize data and excel at metadata management. Coordination must be facilitated by an entirely new kind of team--the data discovery team--that will increase insights for all key players in enterprise metadata management, from the CIO and CDO to the enterprise and data architects of the company. This book shows you how. Understand what metadata repositories are and what they do Learn what data, information, and knowledge should be represented in metadata repositories Learn how these repositories should be managed and coordinated Make data searchable by setting up a data discovery team Increase innovation by setting up a functional data marketplace Make information security and data protection more robust Solidify compliance on data lineage and retention Activate real enterprise architecture based on evidence Get a firmer, deeper understanding of your company IT landscape
Generating Executable Persistent Data Storage/Retrieval Code From Object-Oriented Specifications
Portable High-Performance Indexing for Vector Product Format Spatial Databases
Modeling Information Quality Expectation in Unmanned Aerial Vehicle Swarm Sensor Databases
Extensible Multi-Agent System for Heterogeneous Database Association Rule Mining and Unification
Parallel Data Mining With the Message Passing Interface Standard on Clusters of Personal Computers
Extensible Multi-Agent System for Heterogeneous Database Association Rule Mining and Unification
Getting Started with the Graph Query Language (GQL)
Learn how to build and query graph databases with this first comprehensive guide to ISO-standard GQL featuring 50+ hands-on examples and a real-world case study that will change the way you work with connected dataKey Features: - Go beyond theory and apply key concepts and syntax through interactive tutorials and practical examples via the GQL Playground- Leverage advanced features of GQL to manipulate graph data efficiently- Explore GQL applications in data analytics and discover how to leverage graph knowledge in real-world scenarios- Purchase of the print or Kindle book includes a free PDF eBookBook Description: Graph Query Language is becoming the go-to standard for graph databases, especially with its support for interconnected analytics and GenAI capabilities. This book comes from a team of industry veterans who know exactly how to break down the fundamental GQL concepts, graph terms, definitions, catalog systems, and everything that matters in actual work.You'll get to grips with graph data types, value expressions, graph matching patterns, and modifying statements through practical GQL examples. With access to the GQL Playground via Ultipa Graph, you'll get hands-on experience querying and manipulating graph data.Once you've got the basics down, you'll tackle advanced GQL topics such as path modes, complex path matching patterns, shortest path queries, composite statements, session and transaction commands, and procedures. You'll also learn to create extensions and understand the design of graph databases to solve industry issues. The authors cover techniques like property graphs to help you optimize your graph queries and offer insights into the future of GQL and graph technology.By the end of this book, you'll confidently query and update graph data, run graph algorithms, and create visualizations. Plus, you'll apply your learnings to a real-world use case of money flow analysis for assessing bank client behaviors and detecting transaction risks.What You Will Learn: - Experiment with GQL syntax on GQL Playground, including MATCH, RETURN, INSERT, UPDATE, and DELETE- Work with operators, functions, and variables in an organized fashion- Become familiar with complex topics such as varying path matching modes, repeated variables, shortest path, procedures, and transactions- Enhance execution speed through indexing or caching systems- Understand how to manage access control effectively- Tackle real-world issues with a case study focused on money transaction analyticsWho this book is for: This book is for graph database developers, DBAs, programmers, data engineers, and analysts who want to learn the new graph database standard GQL. A basic understanding of graph and relational databases, data models, knowledge of SQL basics, and programming will make the content easy to grasp. While it is designed to be accessible even if you don't have a background in graph theory, familiarity with concepts like nodes, edges, relationships, and the distinction between directed and undirected graphs will enhance your learning experience.Table of Contents- Evolution Towards Graph Databases- Key Concepts of GQL- Getting Started- Basic GQL Statements- Operators and Logical Control- Functions- Advanced Clauses- Transaction Management- Sessions Management- Conformance to GQL Standard- Beyond the GQL Standard- A Case Study- The Evolving Landscape of GQL- Glossary and Resources
Strategic DevOps
DevOps is not something you can buy or install, even if some product names might suggest otherwise. This book helps you connect the dots between DevOps culture, technical execution, and business value, offering a practical framework to scale your organization in a world increasingly shaped by rapid change and the growing influence of AI.While DevOps principles apply broadly, we focus on the developer, operator, and business triad to keep things grounded and actionable. We explore how DevOps culture influences everything from planning and automation to testing, cybersecurity, and observability. Along the way, we take a step back from the technical, asking: what does value actually mean?, and how can DevOps culture create, protect, and scale it?Scaling technology is easy. Scaling people and culture is the real challenge, and this is where DevOps shines. After reading this book, you will move from mindset to execution, tying culture, metrics, and value together to understand how technical and human systems shape an organization's success.WHAT YOU WILL LEARN● Implementing DevOps culture principles. ● Fostering collaboration and breaking organizational silos.● Automation to development, deployment, and maintenance of a product or service.● Integrating cybersecurity via shift left/right, threat modeling, and Zero Trust.● Establishing useful metrics and KPIs for data-driven continuous improvement.● Implementing observability, monitoring, alerting, and post-mortems for system health.● Enabling better decision-making in organizations and businesses. WHO THIS BOOK IS FORThis book is for engineers, operators, and business leaders seeking to understand and scale value through DevOps culture. With a focus on why, those without a coding background can engage meaningfully, grasping most of the content. The book provides clear and actionable insights into how people, mindset, and culture shape organizational success.
Transforming Academic Libraries
The book comprises the proceedings of the International Conference on Academic Libraries (ICAL 2023) in the context of developing a vision for the next generation of libraries which will contribute to nation-building and give a competitive edge to the country in becoming a knowledge economy. The book provides a quality reading and exchange of ideas to all stakeholders to deliberate, dwell, and brainstorm upon the diverse and enormous role that academic libraries may play in enhancing the higher education landscape in developed and developing countries with particular reference to India by 2030. The book includes literature and opportunities to identify the strengths and gaps in the academic library system and to suggest new management models, mechanisms, policies, and national and international programs for reshaping academic libraries into next-generation libraries for higher education.
Optimal Estimation and Information Fusion: Theory and Algorithms
Proceedings of the 11th Conference on Sound and Music Technology
This book presents selected papers at the 11th Conference on Sound and Music Technology (CSMT) held in October 2024, Wuhan, China. CSMT is a multidisciplinary conference focusing on audio processing and understanding with bias on music and acoustic signals. The primary aim of the book is to promote the collaboration between art society and technical society in China. In this book, the paper included covers a wide range topic from speech, signal processing, music understanding, machine learning, and signal processing for advanced medical diagnosis and treatment applications, which demonstrates the target of CSMT merging arts and science research together. Its content caters to scholars, researchers, engineers, artists, and education practitioners not only from academia but also industry, who are interested in audio/acoustics analysis signal processing, music, sound, and artificial intelligence (AI).
Digital Transformation in Sports
The sports industry is one of the most robust and competitive sectors in the world. Over the last decade, the integration of technology into sports has dramatically transformed the dynamics of how the sports industry operates. Sports analytics (i.e., the integration of data science and sports) is at the forefront of this digital transformation. Sports analytics encompasses the applications of innovative technologies and advanced analytical techniques to assess and enhance performance of players and teams, improve decision-making across diverse aspects, and bolster competitive advantages and strategies.Digital Transformation in Sports explores the key driving forces and emerging trends that are fueling the digital transformation of the sports industry. It presents a collection of chapters that delve into state-of-the-art research and real-world applications of sports analytics, providing a diverse perspective on its transformative impact across different sports sectors. It showcases how advanced technologies such as the Internet of Things (IoT), machine learning (ML), and artificial intelligence (AI) are revolutionizing player performance, strategic decision-making, fan engagement, and operational efficiency. For example, by utilizing sensors, wearable technologies, tracking devices, and 5G networks, IoT technologies can collect an unprecedented amount of data in real time and enable the near-instantaneous transmission of this data to the centralized platforms for analysis. Sophisticated analytics powered by AI and ML enable the extraction of actionable insights from this raw data, transforming it into valuable intelligence that drives better decision-making.By offering a bridge between theoretical frameworks and practical applications, this book demonstrates how such concepts as technology acceptance theories inform the successful implementation and adoption of analytics solutions. By drawing upon interdisciplinary insights, the chapters provide valuable tools and frameworks for researchers, analysts, practitioners, and stakeholders, delivering actionable guidance to harness the full potential of analytics in the rapidly evolving sports landscape.
Neural Information Processing
The eleven-volume set LNCS 15286-15296 constitutes the refereed proceedings of the 31st International Conference on Neural Information Processing, ICONIP 2024, held in Auckland, New Zealand, in December 2024.The 318 regular papers presented in the proceedings set were carefully reviewed and selected from 1301 submissions. They focus on four main areas, namely: theory and algorithms; cognitive neurosciences; human-centered computing; and applications.
Topic Modeling
As a well-known text mining tool, topic modeling can effectively discover the latent semantic structure of text data. Extracting topics from documents is also one of the fundamental challenges in natural language processing. Although topic models have seen significant achievements over the past three decades, there remains a scarcity of methods that effectively model temporal aspect. Moreover, many contemporary topic models continue to grapple with the issue of noise contamination, particularly in social media data. This book presents several approaches designed to address these two limitations. Initially, traditional lifelong topic models aim to accumulate knowledge learned from experience for future task. However, the sequence of topics extracted by these methods may shift over time, leading to semantic misalignment between the topic representations across document streams. Such misalignment can degrade the performances of various downstream tasks, including online document classification and dynamic information retrieval at the topic level. Additionally, the challenge of coherent topic modeling is particularly relevant due to the noise and large scale of social media datasets. Messages on social media platforms often consists of only a few words, resulting in a lack of significant context. Models applied directly to this type of text frequently encounter the problem of feature sparsity, which can yield unsatisfactory outcomes. In the context of emotion detection, public emotions are known to fluctuate across different topics, and topics can evoke public emotion. Thus, there is a strong interconnection between topic discovery and emotion detection. Jointly modeling topics and emotions is a suitable strategy for these tasks. This book also examines the impact of topics on emotion detection and other related areas.
Advances on Intelligent Computing and Data Science II
This book presents the proceedings of the 4th International Conference on Advanced Computing and Informatics (ICACIn'24). The conference, held on December 16-17, 2024, at STEAMhouse, Birmingham City University (UK), with a parallel session at Hassan II University (Morocco), attracted submissions by researchers in 20 countries. Out of 91 submissions, 46 high-quality papers were selected, presenting the latest advancements and cutting-edge developments in computing and informatics. The book covers a wide range of advanced computing topics, including data science, big data analytics, the Internet of Things (IoT), smart computing, artificial intelligence, machine learning, cybersecurity, intelligent communication systems, health informatics, and information systems. Designed for researchers, practitioners, and graduate students, this book serves as a valuable resource for exploring advanced intelligent computing techniques and their real-world applications.
Data-Centric Business and Applications
This book provides a comprehensive insight into contemporary management challenges shaped by digital transformation, operational excellence, and data-driven human resource strategies. It presents innovative frameworks for decision-making, workforce optimization, and financial innovation by integrating theoretical perspectives with real-world applications. With contributions from international scholars, it offers fresh perspectives on emerging technologies, sustainability, and business intelligence. Designed for academics, professionals, and policymakers, the book serves as a valuable resource for understanding and implementing effective management strategies in the digital era.
MongoDB in Action, Third Edition
Deliver flexible, scalable, and high-performance data storage that's perfect for AI and other modern applications with MongoDB 8.0 and MongoDB Atlas Multi-cloud Developer Data Platform. In MongoDB in Action, Third Edition you'll find comprehensive coverage of the latest version of MongoDB 8.0 and the powerful MongoDB Atlas Multi-cloud Developer Data Platform. Learn how to deliver data flexibility with MongoDB's schema-less design, make your apps scalable with its sharding capabilities, power full text and semantic search, use the Retrieval Augmented Generation pattern, implement powerful stream processing, and more. This totally revised new edition delivers engaging hands-on tutorials and examples that put MongoDB into action! In MongoDB in Action, Third Edition you'll: - Master new features in MongoDB 8.0 - Create Atlas vector search for AI applications - Design scalable NoSQL databases - Utilize advanced search capabilities in MongoDB Atlas - Build Event-Driven Applications with Atlas Stream Processing - Deploy and manage MongoDB Atlas local and cloud clusters using Atlas CLI - Leverage the Atlas SQL interface for familiar SQL querying - Use MongoDB Atlas Online Archive for efficient data management - Establish robust security practices including encryption - Master backup and restore strategies - Optimize database performance and identify slow queries MongoDB in Action, Third Edition offers a clear, easy-to-understand introduction to everything in MongoDB 8.0 and MongoDB Atlas--including new advanced features such as embedded config servers in sharded clusters, or moving an unsharded collection to a different shard. The book also covers Atlas stream processing, full text search, and vector search capabilities for generative AI applications. Each chapter is packed with tips, tricks, and practical examples you can quickly apply to your projects, whether you're brand new to MongoDB or looking to get up to speed with the latest version. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book MongoDB in Action, Third Edition is a practical guide to MongoDB 8.0 and the MongoDB Atlas Multi-cloud Developer Data Platform. You'll go well beyond the basics of database management, learning how to build AI-driven applications, implement advanced search techniques, and optimize performance at scale. With hands-on projects that include creating an AI chatbot, setting up a sharded cluster in MongoDB Atlas, and building an aggregation pipeline, you'll really see MongoDB in action. The book guides you through deploying Atlas clusters, optimizing performance, and setting up robust monitoring systems. Whether you're building chatbots or managing large datasets, you'll soon be delivering MongoDB deployments that are efficient and scalable. About the reader For readers of all experience levels. If you're a beginner, you'll be carefully and quickly brought up to speed with MongoDB. If you're a Mongo veteran, you'll benefit from the book's practical insights into the latest features of MongoDB 8.0 and Atlas Multi-cloud Developer Data Platform. About the author Arek Borucki is a MongoDB Champion, seasoned Principal Database Engineer, certified MongoDB SI Architect, certified MongoDB and MongoDB Atlas administrator.
Multilingual Phoneme Models for Rapid Speech Processing System Development
Parallel Data Mining With the Message Passing Interface Standard on Clusters of Personal Computers
Modeling Information Quality Expectation in Unmanned Aerial Vehicle Swarm Sensor Databases
Multilingual Phoneme Models for Rapid Speech Processing System Development
