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Knowledge and Systems Sciences: 20th International Symposium, KSS 2019, Da Nang, Vietnam, November 29 – December 1, 2019, Proceedings (Communications in Computer and Information Science #1103)
by Jian Chen Van Nam Huynh Gia-Nhu Nguyen Xijin TangThis book constitutes the refereed proceedings of the 20th International Symposium on Knowledge and Systems Sciences, KSS 2019, held in Da Nang, Vietnam, in November 2019. The 14 revised full papers presented were carefully reviewed and selected from 31 submissions. This year KSS provides opportunities for presenting interesting new research results, facilitating interdisciplinary discussions, and leading to knowledge transfer under the theme of "Knowledge Science in the Age of Big Data".
Knowledge and Systems Sciences: 22nd International Symposium, KSS 2023, Guangzhou, China, December 2–3, 2023, Proceedings (Communications in Computer and Information Science #1927)
by Jian Chen Van-Nam Huynh Xijin Tang Jiangning WuThis book constitutes the proceedings of the 22nd International Symposium, KSS 2023, held in Guangzhou, China, during December 2–3, 2023. The 20 full papers included in this volume were carefully reviewed and selected from 56 submissions. The volume is divided in topical sections that cover the following topics: data mining and machine learning, complex systems modeling, decision analysis and knowledge management, opinion mining and knowledge technologies.
Knowledge and Systems Sciences
by Jian Chen Yoshiteru Nakamori Wuyi Yue Xijin TangThis book constitutes the refereed proceedings of the 17th International Symposium, KSS 2016, held in Kobe, Japan, in November 2016. The 21 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers cover topics such as: Algorithms for Big Data; Big Data and education; Big Data and healthcare; Big Data and tourism; Big Data and social media oriented knowledge discovery and data mining, text mining, recommendation system, etc; Big Data, social media and societal management; creation of agent-based social systems sciences; collective intelligence; complex system modeling and complexity; decision analysis and decision support systems; internet+ and agriculture; internet+ and open innovation; knowledge creation, creativity support, awareness support, etc. ; knowledge systems engineering and knowledge management; meta-synthesis and advanced modeling; opinion dynamics and opinion mining; OR on knowledge and systems sciences; problem structuring methods and system methodologies toward wicked problems; service systems science; smart city; social dynamic network modeling; Web intelligence.
Knowledge and Systems Sciences: 19th International Symposium, KSS 2018, Tokyo, Japan, November 25-27, 2018, Proceedings (Communications in Computer and Information Science #949)
by Jian Chen Yuji Yamada Mina Ryoke Xijin TangThis book constitutes the refereed proceedings of the 19th International Symposium, KSS 2019, held in Tokyo, Japan, in November 2018.The 20 revised full papers presented were carefully reviewed and selected from 54 submissions. This year KSS 2018 provides opportunities for presenting interesting new research results, facilitating interdisciplinary discussions, and leading to knowledge transfer under the theme of "Knowledge Acquisition from Structured and Unstructured Data for Effective Social Implementation".
Knowledge and Systems Sciences: 18th International Symposium, KSS 2017, Bangkok, Thailand, November 17–19, 2017, Proceedings (Communications in Computer and Information Science #780)
by Jian Chen, Thanaruk Theeramunkong, Thepchai Supnithi and Xijin TangThis book constitutes the refereed proceedings of the 18th International Symposium, KSS 2017, held in Bangkok, Thailand, in November 2017.The 21 revised full papers presented were carefully reviewed and selected from 63 submissions. This year KSS 2017 provides opportunities for presenting interesting new research results, facilitating interdisciplinary discussions, and leading to knowledge transfer under the theme of "Artificial Intelligence and Information Systems for Knowledge, Technology and Service Management".
Knowledge and Systems Sciences: 17th International Symposium, KSS 2016, Kobe, Japan, November 4-6, 2016, Proceedings (Communications in Computer and Information Science #660)
by Jian Chen, Yoshiteru Nakamori, Wuyi Yue and Xijin TangThis book constitutes the refereed proceedings of the 17th International Symposium, KSS 2016, held in Kobe, Japan, in November 2016.The 21 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers cover topics such as: Algorithms for Big Data; Big Data and education; Big Data and healthcare; Big Data and tourism; Big Data and social media oriented knowledge discovery and data mining, text mining, recommendation system, etc; Big Data, social media and societal management; creation of agent-based social systems sciences; collective intelligence; complex system modeling and complexity; decision analysis and decision support systems; internet+ and agriculture; internet+ and open innovation; knowledge creation, creativity support, awareness support, etc.; knowledge systems engineering and knowledge management; meta-synthesis and advanced modeling; opinion dynamics and opinion mining; OR on knowledge and systems sciences; problem structuring methods and system methodologies toward wicked problems; service systems science; smart city; social dynamic network modeling; Web intelligence.
Knowledge and Systems Sciences: 23rd International Symposium, KSS 2024, Hobart, TAS, Australia, November 16–17, 2024, Proceedings (Communications in Computer and Information Science #2269)
by Xijin Tang Van Nam Huynh Haoxiang Xia Quan BaiThis book constitutes the refereed proceedings of the 23rd International Symposium on Knowledge and Systems Sciences, KSS 2024, held in Hobart, Tasmania, Australia, during November 16–17, 2024. The 23 full papers presented in this book were carefully reviewed and selected from 50 submissions. They are organized in the following topical sections: Complex networks and modeling; Opinion dynamics; Knowledge technologies and systems engineering; Knowledge management.
Knowledge Architectures: Structures and Semantics
by Denise BedfordKnowledge Architectures reviews traditional approaches to managing information and explains why they need to adapt to support 21st-century information management and discovery. Exploring the rapidly changing environment in which information is being managed and accessed, the book considers how to use knowledge architectures, the basic structures and designs that underlie all of the parts of an effective information system, to best advantage. Drawing on 40 years of work with a variety of organizations, Bedford explains that failure to understand the structure behind any given system can be the difference between an effective solution and a significant and costly failure. Demonstrating that the information user environment has shifted significantly in the past 20 years, the book explains that end users now expect designs and behaviors that are much closer to the way they think, work, and act. Acknowledging how important it is that those responsible for developing an information or knowledge management system understand knowledge structures, the book goes beyond a traditional library science perspective and uses case studies to help translate the abstract and theoretical to the practical and concrete. Explaining the structures in a simple and intuitive way and providing examples that clearly illustrate the challenges faced by a range of different organizations, Knowledge Architectures is essential reading for those studying and working in library and information science, data science, systems development, database design, and search system architecture and engineering.
Knowledge as a Tale: A Discursive Space
by Rafal MaciagThis text describes the process that led to knowledge becoming the most important modern good and a complex phenomenon beginning at the end of the 19th century. It was a change in the way of understanding the world proposed by mathematics and geometry. This volume reveals how the paradigm shift, still in progress, is gradually transforming less obvious fields of science, such as the humanities and social sciences while affecting the phenomenon of knowledge. Firstly, meta-analysis gained importance, and secondly, it became natural to perceive knowledge in a social context, showing its diverse and multi-cause dispersion, leading to the phenomenon of knowledge. Due to the interpretation of knowledge as a complex social phenomenon, the author proposes a new model of knowledge description, called the theory of discursive space, making it possible to describe the role and meaning of knowledge as a component of modern civilization that is all-encompassing. This text appeals to students and researchers working in the philosophy of technology.
Knowledge-augmented Methods for Natural Language Processing (SpringerBriefs in Computer Science)
by Meng Jiang Bill Yuchen Lin Shuohang Wang Yichong Xu Wenhao Yu Chenguang ZhuOver the last few years, natural language processing has seen remarkable progress due to the emergence of larger-scale models, better training techniques, and greater availability of data. Examples of these advancements include GPT-4, ChatGPT, and other pre-trained language models. These models are capable of characterizing linguistic patterns and generating context-aware representations, resulting in high-quality output. However, these models rely solely on input-output pairs during training and, therefore, struggle to incorporate external world knowledge, such as named entities, their relations, common sense, and domain-specific content. Incorporating knowledge into the training and inference of language models is critical to their ability to represent language accurately. Additionally, knowledge is essential in achieving higher levels of intelligence that cannot be attained through statistical learning of input text patterns alone. In this book, we will review recent developmentsin the field of natural language processing, specifically focusing on the role of knowledge in language representation. We will examine how pre-trained language models like GPT-4 and ChatGPT are limited in their ability to capture external world knowledge and explore various approaches to incorporate knowledge into language models. Additionally, we will discuss the significance of knowledge in enabling higher levels of intelligence that go beyond statistical learning on input text patterns. Overall, this survey aims to provide insights into the importance of knowledge in natural language processing and highlight recent advances in this field.
Knowledge-Based Intelligent Techniques in Character Recognition (International Series On Computational Intelligence Ser. #9)
by Lakhmi C. Jain; Beatrice LazzeriniKnowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.This resource will interest anyone involved in computer science, computer engineering, applied mathematics, or related fields. It will also be of use to researchers, application engineers and students who wish to develop successful character recognition systems such as those used in reading addresses in a postal routing system or processing bank checks.Features
Knowledge-Based Social Entrepreneurship: Understanding Knowledge Economy, Innovation, and the Future of Social Entrepreneurship (Palgrave Studies in Democracy, Innovation, and Entrepreneurship for Growth)
by Mitt Nowshade KabirSocial entrepreneurship is on the rise and social enterprises are solving some of the most critical and enduring social problems by using innovative, pragmatic and sustainable business models. Access to knowledge thanks to the Internet and rapid expansion of the knowledge economy are opening new opportunities for social ventures. With knowledge-based social entrepreneurship where knowledge is the primary resource, more pressing social problems can be addressed by using advanced technologies. This book investigates this emerging concept, possibilities that it holds, its place in today’s economy, and links bridges between knowledge, innovation, and social entrepreneurship. Academics, entrepreneurs, students, and NGOs will find the theoretical and practical information presented in this book extremely valuable.
Knowledge-Based Software Engineering: Proceedings of the 13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), Larnaca, Cyprus, August 24-26, 2020 (Learning and Analytics in Intelligent Systems #19)
by Lakhmi C. Jain Maria Virvou Hiroyuki NakagawaThis book summarizes the research findings presented at the 13th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2020), which took place on August 24–26, 2020. JCKBSE 2020 was originally planned to take place in Larnaca, Cyprus. Unfortunately, the COVID-19 pandemic forced it be rescheduled as an online conference. JCKBSE is a well-established, international, biennial conference that focuses on the applications of artificial intelligence in software engineering. The 2020 edition of the conference was organized by Hiroyuki Nakagawa, Graduate School of Information Science and Technology, Osaka University, Japan, and George A. Tsihrintzis and Maria Virvou, Department of Informatics, University of Piraeus, Greece. This research book is a valuable resource for experts and researchers in the field of (knowledge-based) software engineering, as well as general readers in the fields of artificial and computational Intelligence and, more generally, computer science wanting to learn more about the field of (knowledge-based) software engineering and its applications. An extensive list of bibliographic references at the end of each paper helps readers to probe further into the application areas of interest to them.
Knowledge-Based Software Engineering: Proceedings of the 12th Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2018) Corfu, Greece (Smart Innovation, Systems and Technologies #108)
by Maria Virvou Fumihiro Kumeno Konstantinos OikonomouThis book summarizes the new research results presented at the 12th Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2018), which took place on August 27–30, 2018 on the island of Corfu, Greece. The JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence in Software Engineering. The JCKBSE 2018 was organized by the Department of Informatics of the University of Piraeus, the Department of Computer and Information Engineering of Nippon Institute of Technology, and the Department of Informatics of Ionian University. The book will benefit not only experts and researchers in the field of (Knowledge-Based) Software Engineering, but also general readers in the fields of Artificial Intelligence, Computational Intelligence and Computer Science who wish to learn more about the field of (Knowledge-Based) Software Engineering and its applications. An extensive list of bibliographic references at the end of each paper encourages readers to probe further into the application areas that interest them most.
Knowledge-Based Software Engineering: Proceedings of the 14th International Joint Conference on Knowledge-Based Software Engineering (JCKBSE 2022), Larnaca, Cyprus, August 22-24, 2022 (Learning and Analytics in Intelligent Systems #30)
by Maria Virvou Takuya Saruwatari Lakhmi C. JainThis book contains extended versions of the works and new research results presented at the 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022). JCKBSE2022 was originally planned to take place in Larnaca, Cyprus. Unfortunately, the COVID-19 pandemic forced it to be rescheduled as an online conference. JCKBSE is a well-established international biennial conference that focuses on the applications of Artificial Intelligence on Software Engineering. The 14th International Joint Conference on Knowledge-based Software Engineering (JCKBSE2022) was organized by the Department of Informatics of the University of Piraeus, Greece. This book is a valuable resource for experts and researchers in the field of (knowledge-based) software engineering. It is also valuable to general readers in the fields of artificial and computational intelligence and, more generally, computer science, wishing to learn more about the exciting field of (knowledge-based) software engineering and its applications. An extensive list of bibliographic references at the end of each chapter helps readers to probe deeper into the application areas of interest to them.
Knowledge Building and Regulation in Computer-Supported Collaborative Learning
by Lanqin ZhengThis book proposes and validates an information flow approach to analyzing knowledge co-construction and predicting group performance in the context of collaborative learning. In addition, it highlights the importance of socially shared regulation in collaborative learning, and illustrates in detail how it can be analyzed and promoted. The book investigates several innovative examples, including: Methodological approaches to studying and analyzing knowledge building and regulation in collaborative learning; Social software tools for capturing the dynamics of knowledge building and regulation in collaborative learning; Collective regulatory mechanisms to scaffold socially shared regulation in real-life collaborative learning; and Scripts and interventions to facilitate effective and productive collaborative learning on the basis of several case studies. The original methodological contributions to the analysis of knowledge building and scaffolding socially shared regulation make this an essential read for anyone interested in collaborative learning. This book will also be of interest to a wide audience of researchers, teachers, and students in the field of collaborative learning, as well as the rapidly growing community of people investigating how collaborative learning can be effectively used in education.
Knowledge Cartography
by Simon J. Buckingham Shum Alexandra Okada Tony SherborneKnowledge maps are ideal tools for capturing, organizing and extracting meaning from many different sources. They provide powerful graphic tools for classifying, representing and communicating information. This book discusses significant new research and explains its underlying principles in terms of Knowledge Cartography. With contributions from leading researchers and practitioners, it offers a rich variety of conceptual frameworks, mapping techniques and case studies.
Knowledge Cartography for Young Thinkers: Sustainability Issues, Mapping Techniques and AI Tools (Advanced Information and Knowledge Processing)
by Alexandra OkadaDiscover the transformative power of knowledge mapping with this revolutionary book. You will have access to a rich collection of mapping techniques, technologies, and real-life applications designed for learners of all ages and across disciplines. This book aims to help learners create knowledge with the support of artificial intelligence mapping apps and engage them deeply with sustainable development supported by green digital skills. Experience the dynamic world of mind maps, concept maps, dialogue maps, and more, brought to life by educators, researchers, experts, and young students. This is not just a book; it is a movement toward diverse, interactive learning methods to shape a sustainable future. Perfect for teachers, trainers, nonformal educators, and education professionals, the book embraces the innovative CARE-KNOW-DO framework to transform how young people tackle pressing issues. It combines exploration, understanding, and actionable steps for sustainability. This book offers invaluable resources to help researchers explore trends, connect relevant information, and produce significant narratives supported by AI. It guides the use of knowledge maps in decision-making, sense-making, and inspiring future generations. The book also explores the methodology behind its creation, including case studies, teaching strategies, and learning outcomes, all of which are grounded in extensive literature and ethical standards. Embrace a new era of learning with this open-access book on knowledge mapping. It is set to transform the way we think, research, teach, and learn. It is an open access book.
Knowledge Computing and Its Applications
by S. Margret Anouncia Uffe Kock WiilThis book provides a major forum for the technical advancement of knowledge management and its applications across diversified domains. Pursuing an interdisciplinary approach, it focuses on methods used to identify and acquire valid, potentially useful knowledge sources. Managing the gathered knowledge and applying it to multiple domains including health care, social networks, data mining, recommender systems, image processing, pattern recognition and predictions using machine learning techniques is the major strength of this book. Effective knowledge management has become a key to the success of business organizations, and can offer a substantial competitive edge. So as to be accessible to all scholars, this book combines the core ideas of knowledge management and its applications in numerous domains, illustrated in case studies. The techniques and concepts proposed here can be extended in future to accommodate changing business organizations’ needs as well as practitioners’ innovative ideas.
Knowledge Computing and its Applications: Knowledge Manipulation And Processing Techniques: Volume 1
by S. Margret Anouncia Uffe Kock WiilThis book highlights technical advances in knowledge management and their applications across a diverse range of domains. It explores the applications of knowledge computing methodologies in image processing, pattern recognition, health care and industrial contexts. The chapters also examine the knowledge engineering process involved in information management. Given its interdisciplinary nature, the book covers methods for identifying and acquiring valid, potentially useful knowledge sources. The ideas presented in the respective chapters illustrate how to effectively apply the perspectives of knowledge computing in specialized domains.
Knowledge Discovery for Counterterrorism and Law Enforcement (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by David SkillicornMost of the research aimed at counterterrorism, fraud detection, or other forensic applications assumes that this is a specialized application domain for mainstream knowledge discovery. Unfortunately, knowledge discovery changes completely when the datasets being used have been manipulated in order to conceal some underlying activity. Knowledge Dis
Knowledge Discovery from Data Streams (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Joao GamaSince the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imposed new constraints on the design of learning algorithms. Exploring how to extract knowledge structures from evolving and time-changing data, Knowledge Discovery from Data Streams presents
Knowledge Discovery from Sensor Data
by Auroop R. Ganguly JoÎo Gama Olufemi A. Omitaomu Mohamed Medhat Gaber Ranga Raju VatsavaiAs sensors become ubiquitous, a set of broad requirements is beginning to emerge across high-priority applications including disaster preparedness and management, adaptability to climate change, national or homeland security, and the management of critical infrastructures. This book presents innovative solutions in offline data mining and real-time
Knowledge Discovery in Proteomics
by null Igor Jurisica null Dennis WigleMulti-modal representations, the lack of complete and consistent domain theories, rapid evolution of domain knowledge, high dimensionality, and large amounts of missing information - these are challenges inherent in modern proteomics. As our understanding of protein structure and function becomes ever more complicated, we have reached a point where
Knowledge Discovery, Knowledge Engineering and Knowledge Management: 14th International Joint Conference, IC3K 2022, Valletta, Malta, October 24–26, 2022, Revised Selected Papers (Communications in Computer and Information Science #1842)
by Frans Coenen Ana Fred David Aveiro Jan Dietz Jorge Bernardino Elio Masciari Joaquim FilipeThis book constitutes the refereed proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022, held in Valletta, Malta, during October 24–26, 2022.The 14 full papers included in this book were carefully reviewed and selected from 127 submissions. They were organized in topical sections as follows: Knowledge Discovery and Information Retrieval; Knowledge Engineering and Ontology Development; and Knowledge Management and Information Systems