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Knowledge Graphs and Semantic Web: 5th Iberoamerican Conference and 4th Indo-American Conference, KGSWC 2023, Zaragoza, Spain, November 13–15, 2023, Proceedings (Lecture Notes in Computer Science #14382)
by Boris Villazón-Terrazas Sanju Tiwari Fernando Ortiz-Rodriguez Carlos BobedThis book constitutes the refereed proceedings of the 5th Iberoamerican Conference and 4th Indo-American Conference on Knowledge Graphs and Semantic Web, KGSWC 2023, held jointly in Zaragoza, Spain, during November 13–15, 2023.The 18 full and 2 short papers presented were carefully reviewed and selected from 50 submissions. They focus on the following topics: knowledge representation; natural language processing/text mining; and machine/deep learning research.
Knowledge Graphs and Semantic Web: 6th International Conference, KGSWC 2024, Paris, France, December 11–13, 2024, Proceedings (Lecture Notes in Computer Science #15459)
by Boris Villazón-Terrazas Sanju Tiwari Fernando Ortiz-Rodríguez Soror SahriThis book constitutes the refereed proceedings of the 6th International Conference on Knowledge Graphs and Semantic Web, KGSWC 2024, held in Paris, France, during December 11–13, 2024. The 22 full papers and 1 short paper presented were carefully reviewed and selected from 58 submissions. They focus on latest scientific results and technology innovations related to the Knowledge Graphs and the Semantic Web.
Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by Vipin Kumar Anuj Karpatne Ramakrishnan KannanGiven their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML
Knowledge Management and Acquisition for Intelligent Systems
by Hayato Ohwada Kenichi YoshidaThis book constitutes the proceedings of the 14th International Workshop on Knowledge Management and Acquisition for Intelligent Systems, PKAW 2016, held in Phuket, Thailand, in August 2016. The 16 full papers and 5 short papers included in this volume were carefully reviewed and selected from 61 initial submissions. They deal with knowledge acquisition and machine learning; knowledge acquisition and natural language processing; knowledge acquisition from network and big data; and knowledge acquisition and applications.
Knowledge Management in Organizations: 14th International Conference, KMO 2019, Zamora, Spain, July 15–18, 2019, Proceedings (Communications in Computer and Information Science #1027)
by Lorna Uden I-Hsien Ting Juan Manuel CorchadoThis book contains the refereed proceedings of the 14th International Conference on Knowledge Management in Organizations, KMO 2019, held in Zamora, Spain, in July 2019. The 46 papers accepted for KMO 2018 were selected from 109 submissions and are organized in topical sections on: knowledge management models and analysis; knowledge transfer and learning; knowledge and service innovation; knowledge creation; knowledge and organization; information systems and information science; data mining and intelligent science; social networks and social aspects of KM; big data and IoT; and new trends in IT.
Knowledge Production and Management in Africa: Exploring Socioeconomics, Indigenous Knowledge, and Technological Integration Across a Continent
by Abdul Karim BanguraThis contributed volume explores knowledge production and management across diverse African contexts, integrating indigenous perspectives with modern technological advancements. It addresses the intersection of cultural, socioeconomic, and technological factors, offering readers a thorough understanding of how these elements shape knowledge systems in Africa. Structured into five key sections—technology, pedagogy and curricula, business and ecology, culture and community, and human relationships—the book presents a cohesive framework guiding readers through various domains of knowledge production. Each chapter examines specific themes, from AI&’s moral standing and mobile technologies in agriculture to digital transformation in education and the role of performing arts in cultural orientation. The chapters are authored by experts who provide empirical research, case studies, and theoretical analyses, ensuring a rich and diverse exploration of topics. By challenging conventional paradigms and advocating for context-specific approaches, the book highlights the resilience and innovation inherent in African knowledge practices. Readers will gain a deep understanding of the multifaceted nature of knowledge production in Africa. The book highlights culturally-responsive cognitive schemas, the impact of digital technologies on education and business, and the role of indigenous knowledge in sustainable development. Readers will walk away from the book understanding inclusive and effective knowledge management practices, and they will have an enhanced appreciation for the unique contributions of African knowledge systems to global discourses.
Knowledge Technology and Systems: Toward Establishing Knowledge Systems Science (Translational Systems Sciences #34)
by Yoshiteru NakamoriThis book discusses technology and systems to create valuable ideas from data through the construction of knowledge. The primary concern is to make better decisions about economic and management issues in today’s information-flooded society. Human creative activity is in the realm of soft technology, with no physical entity to operate. Focusing on the ability of knowledge as judgment power, this definition results: “Knowledge technology is soft technology that underpins the human creative activities of converting data and information into knowledge, creating new ideas based on that knowledge and validating those ideas.” That definition includes a wide range of soft technologies developed in informatics, management studies, and systems science. The knowledge system creates ideas from data and knowledge through knowledge technologies. Based on the proposition that knowledge emerges by the interaction between explicit and tacit knowledge, another definition is possible: “The knowledge system is a system that promotes interaction between codified and personalized knowledge and creates ideas for solving a specific problem.” Codified knowledge includes data and information, while personalized knowledge is empirical knowledge or wisdom that is difficult to put into words. Building a knowledge system requires mathematical or intelligent knowledge technology and participatory knowledge technology to create or manage codified knowledge and personalized knowledge. For example, a company builds cross-sectional knowledge systems by gathering human resources from various departments, according to the purpose, as in new product development or sales promotion. Chapter 1 defines knowledge technology and the knowledge system and organizes the challenges in their development, while Chapters 2 through 9 introduce mathematical or intelligent knowledge technologies by researchers at the forefront of knowledge technology development.
Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment: KNOW-RE-BUILT. Proceedings of the Online International Multiplier Event/Conference, December 15-16, 2021 (Springer Series in Geomechanics and Geoengineering)
by Ancuța RotaruThis book showcases the valuable contributions made during the online event entitled The International Conference on Knowledge Transfer in the Sustainable Rehabilitation and Risk Management of the Built Environment. The conference was held on December 15–16, 2021, and was organized as a multiplier event of the European project Rehabilitation of the Built Environment in the Context of Smart City and Sustainable Development Concepts for Knowledge Transfer and Lifelong Learning (RE-BUILT). This book specifically retains the same main themes explored in the book titled Critical Thinking in the Sustainable Rehabilitation and Risk Management of the Built Environment – CRIT-RE-BUILT. The papers included in this book are mostly authored by partners in the project’s consortium and cover various aspects of civil engineering knowledge transfer in crucial areas, to address different perspectives and significant challenges related to the sustainable built environment. The book seeks to provoke ideas and discussions, particularly in the areas where risk management and sustainable rehabilitation of the built environment intersect, ranging from reducing hazard risks to enhancing sustainable rehabilitation efforts in the field
Knowledge Visualization Currents
by Francis T. Marchese Ebad BanissiThis text reviews the evolution of the field of visualization, providing innovative examples from various disciplines, highlighting the important role that visualization plays in extracting and organizing the concepts found in complex data. Features: presents a thorough introduction to the discipline of knowledge visualization, its current state of affairs and possible future developments; examines how tables have been used for information visualization in historical textual documents; discusses the application of visualization techniques for knowledge transfer in business relationships, and for the linguistic exploration and analysis of sensory descriptions; investigates the use of visualization to understand orchestral music scores, the optical theory behind Renaissance art, and to assist in the reconstruction of an historic church; describes immersive 360 degree stereographic visualization, knowledge-embedded embodied interaction, and a novel methodology for the analysis of architectural forms.
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 Quan Bai Xijin Tang Van Nam Huynh Haoxiang XiaThis 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 and Time
by Harald Atmanspacher Hans PrimasThis is a unique volume by a unique scientist, which combines conceptual, formal, and engineering approaches in a way that is rarely seen. Its core is the relation between ways of learning and knowing on the one hand and different modes of time on the other. Partial Boolean logic and the associated notion of complementarity are used to express this relation, and mathematical tools of fundamental physics are used to formalize it. Along the way many central philosophical problems are touched and addressed, above all the mind-body problem. Completed only shortly before the death of the author, the text has been edited and annotated by the author's close collaborator Harald Atmanspacher.
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, Proof and Dynamics: The Fourth Asian Workshop on Philosophical Logic (Logic in Asia: Studia Logica Library)
by Fenrong Liu Hiroakira Ono Junhua YuThis volume gathers selected papers presented at the Fourth Asian Workshop on Philosophical Logic, held in Beijing in October 2018. The contributions cover a wide variety of topics in modal logic (epistemic logic, temporal logic and dynamic logic), proof theory, algebraic logic, game logics, and philosophical foundations of logic. They also reflect the interdisciplinary nature of logic – a subject that has been studied in fields as diverse as philosophy, linguistics, mathematics, computer science and artificial intelligence. More specifically. The book also presents the latest developments in logic both in Asia and beyond.
Knowledge-Based Bioinformatics
by Gil Alterovitz Marco RamoniThere is an increasing need throughout the biomedical sciences for a greater understanding of knowledge-based systems and their application to genomic and proteomic research. This book discusses knowledge-based and statistical approaches, along with applications in bioinformatics and systems biology. The text emphasizes the integration of different methods for analysing and interpreting biomedical data. This, in turn, can lead to breakthrough biomolecular discoveries, with applications in personalized medicine.Key Features:Explores the fundamentals and applications of knowledge-based and statistical approaches in bioinformatics and systems biology.Helps readers to interpret genomic, proteomic, and metabolomic data in understanding complex biological molecules and their interactions.Provides useful guidance on dealing with large datasets in knowledge bases, a common issue in bioinformatics.Written by leading international experts in this field.Students, researchers, and industry professionals with a background in biomedical sciences, mathematics, statistics, or computer science will benefit from this book. It will also be useful for readers worldwide who want to master the application of bioinformatics to real-world situations and understand biological problems that motivate algorithms.
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.
Kolmogorov Operators and Their Applications (Springer INdAM Series #56)
by Sergio Polidoro Andrea Pascucci Stéphane MenozziKolmogorov equations are a fundamental bridge between the theory of partial differential equations and that of stochastic differential equations that arise in several research fields. This volume collects a selection of the talks given at the Cortona meeting by experts in both fields, who presented the most recent developments of the theory. Particular emphasis has been given to degenerate partial differential equations, Itô processes, applications to kinetic theory and to finance.
Kolmogorov-Zakharov Spectra of Turbulence: Wave Turbulence (Graduate Texts in Physics)
by Gregory Falkovich Vladimir Zakharov Victor LvovStarting at the level of graduate students, this book offers a comprehensive introduction to a rapidly developing field of turbulence. It also presents the state of the art of the theory of wave turbulence in diverse media for researchers looking for a formalism to solve existing problems or for new research subjects and ideas. The book provides a general theory of developed wave turbulence in different media: plasmas, solids, atmosphere, oceans and space. The presentation starts with a simple and intuitive dimensional analysis and proceeds to a rigorous analytic theory with exact solutions for the stationary spectra of turbulence, stability theory of such spectra, description of nonstationary regimes and matching spectra with pumping and dissipation regions. The reader is provided with the necessary tools to study nonlinear waves and turbulence: Hamiltonian formalism, statistical description, derivation of kinetics equations and methods of finding their steady and non-steady solutions. In this second edition the book is brought up to date both in theoretical and experimental/observational aspects. In particular, the authors have updated and revised the description of nonstationary turbulence, turbulent entropy production, etc, and added discussions of master equation and several cases of strong turbulence and nonlocal cascades. The book now includes excercises, some with solutions.
Kombinatorische Optimierung
by Jens Vygen Bernhard Korte Rabe Von RandowDas umfassende Lehrbuch zur Kombinatorischen Optimierung beruht auf Vorlesungen, die die Autoren an der Universität Bonn gehalten haben. Sie geben den neuesten Stand des Fachgebiets wieder - mit Schwerpunkt auf theoretischen Resultaten und Algorithmen mit guten Laufzeiten und Ergebnissen. Der Band enthält vollständige Beweise, einige davon wurden bisher nicht in der Lehrbuchliteratur publiziert. Die deutschsprachige Neuauflage enthält alle Ergänzungen und Aktualisierungen der 5. englischsprachigen Auflage, darunter mehr als 60 neue Übungsaufgaben.
Kompaktkurs Kombinatorik: Gezählt, verteilt und wohlgeordnet
by Mario H. KrausDieses Buch ist die erste fachübergreifende Einführung in die Kombinatorik in deutscher Sprache und umfasst Gesetzmäßigkeiten, Rechenregeln, Anwendungen sowie 50 Übungsaufgaben mit Lösungen. Es zeigt, wie dieses oft unterschätzte Fachgebiet zahlreiche Entwicklungen in Linguistik und Lyrik, Mathematik und Informatik, Chemie, Musik, Psychologie, Soziologie und Ökonomie beeinflusste.
Komplexe Mannigfaltigkeiten (essentials)
by Klaus FritzscheNach einer Einführung in die holomorphen Funktionen von mehreren Veränderlichen wird die Welt der komplexen Mannigfaltigkeiten vorgestellt, insbesondere Untermannigfaltigkeiten, analytische Mengen und tangentiale Strukturen. Weitere Themen sind komplexe Vektorbündel, Liegruppen und Quotientenstrukturen. Wichtigste Beispiele sind die Steinschen Mannigfaltigkeiten, sowie die projektiv-algebraischen Mengen mit ihrer Beziehung zur algebraischen Geometrie.
Komplexe Zahlen: Eine Einführung für Studienanfänger*innen (essentials)
by Jörg KortemeyerKomplexe Zahlen sind ein typisches Thema mathematischer Grundlagenveranstaltungen. Dieses Essential liefert eine ausführliche Einführung und Darstellung wesentlicher Aspekte beim Umgang mit komplexen Zahlen, zum einen bezogen auf üblicherweise auftretende Aufgabenstellungen und zum anderen eingebettet in mathematische Grundlageninhalte.
Komplexität
by Frank-Michael DittesAnhand von Alltagsbeispielen untersucht der Autor in dem Buch typische Eigenschaften komplexer Systeme. Behandelt wird insbesondere ein Verhaltensmuster, nämlich die Tendenz dieser Systeme, ihre Komplexität zu erhöhen und einen Zustand am Rande zum Chaos einzunehmen. Die Eigenschaften dieses Zustands werden beschrieben und die Reduktion von Komplexität als Weg zur Stabilisierung abgeleitet. Alle Aussagen werden durch mathematische Modelle physikalischer, biologischer und technischer Systeme illustriert, wobei auf Formeln weitgehend verzichtet wird.
Komplexität: Warum die Bahn nie pünktlich ist (Technik im Fokus)
by Frank-Michael DittesAnhand von Alltagsbeispielen untersucht der Autor in dem Buch typische Eigenschaften komplexer Systeme. Behandelt wird insbesondere ein Verhaltensmuster, nämlich die Tendenz dieser Systeme, ihre Komplexität zu erhöhen und einen Zustand am Rande zum Chaos einzunehmen. Die Eigenschaften dieses Zustands werden beschrieben und die Reduktion von Komplexität als Weg zur Stabilisierung abgeleitet. Alle Aussagen werden durch mathematische Modelle physikalischer, biologischer und technischer Systeme illustriert, wobei auf Formeln weitgehend verzichtet wird.
Konfidenzintervalle und Standardfehler-Balken: Das Konzept verstehen und Ergebnisse angemessen interpretieren (essentials)
by Irasianty FrostDieses essential zeigt die korrekte Anwendung von Konfidenzintervallen und hilft, Fehlinterpretationen derselben zu vermeiden bzw. zu erkennen. Auf die mathematischen Tiefen der Statistik wird bewusst verzichtet. Leser lernen in diesem essential den Begriff und die Bedeutung des Konfidenzintervalls im Kontext der dahinterstehenden Idee von Jerzy Neyman (1894-1981) kennen. Beispiele und Abbildungen erleichtern das Erfassen des Konzepts Konfidenzintervall.
Konstruktion und Akzeptanz von Beweisen: Eine empirische Analyse der Zusammenhänge (Mathematikdidaktik im Fokus)
by Florian FüllgrabeEin Anliegen der mathematikdidaktischen Forschung ist die Beschreibung, Diagnose und Förderung verschiedener mathematischer Kompetenzen, zu denen auch die Beweiskompetenz zählt. Dieses Anliegen wird durch die in diesem Buch vorgestellte empirische Studie adressiert, indem mit einem Mixed-Methods-Ansatz Zusammenhänge zwischen der Konstruktion und Akzeptanz von Beweisen analysiert werden. Genauer wird analysiert, welche Zusammenhänge zwischen der Performanz bei der Konstruktion von Beweisen und der Beurteilung von Beweisprodukten hinsichtlich der Beweisakzeptanz und dazugehörigen Akzeptanzkriterien existieren. Durch die Ergebnisse der Studie wird ein Beitrag dazu geleistet, den Begriff der Beweiskompetenz besser verstehen zu können.