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Reality Mining: Using Big Data to Engineer a Better World (The\mit Press Ser.)
by Kate Greene Nathan EagleA look at how Big Data can be put to positive use, from helping users break bad habits to tracking the global spread of disease.Big Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data—surveillance, spying, hacking—has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data (“Reality Mining”) can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy.Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace “knowledge system”; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives.
Reality Mining
by Kate Greene Nathan EagleBig Data is made up of lots of little data: numbers entered into cell phones, addresses entered into GPS devices, visits to websites, online purchases, ATM transactions, and any other activity that leaves a digital trail. Although the abuse of Big Data -- surveillance, spying, hacking -- has made headlines, it shouldn't overshadow the abundant positive applications of Big Data. In Reality Mining, Nathan Eagle and Kate Greene cut through the hype and the headlines to explore the positive potential of Big Data, showing the ways in which the analysis of Big Data ("Reality Mining") can be used to improve human systems as varied as political polling and disease tracking, while considering user privacy.Eagle, a recognized expert in the field, and Greene, an experienced technology journalist, describe Reality Mining at five different levels: the individual, the neighborhood and organization, the city, the nation, and the world. For each level, they first offer a nontechnical explanation of data collection methods and then describe applications and systems that have been or could be built. These include a mobile app that helps smokers quit smoking; a workplace "knowledge system"; the use of GPS, Wi-Fi, and mobile phone data to manage and predict traffic flows; and the analysis of social media to track the spread of disease. Eagle and Greene argue that Big Data, used respectfully and responsibly, can help people live better, healthier, and happier lives.
Reality Modeled After Images: Architecture and Aesthetics after the Digital Image
by Michael YoungReality Modeled After Images: Architecture and Aesthetics after the Digital Image explores architecture’s entanglement with contemporary image culture. It looks closely at how changes produced through technologies of mediation alter disciplinary concepts and produce political effects. Through both historical and contemporary examples, it focuses on how conventions of representation are established, maintained, challenged, and transformed. Critical investigations are conjoined with inquiries into aesthetics and technology in the hope that the tensions between them can aid an exploration into how architectural images are produced, disseminated, and valued; how images alter assumptions regarding the appearances of architecture and the environment. For students and academics in architecture, design and media studies, architectural and art history, and related fields, this book shows how design is impacted and changed by shifts in image culture, representational conventions and technologies.
Reality Modeled After Images: Architecture and Aesthetics after the Digital Image
by Michael YoungReality Modeled After Images: Architecture and Aesthetics after the Digital Image explores architecture’s entanglement with contemporary image culture. It looks closely at how changes produced through technologies of mediation alter disciplinary concepts and produce political effects. Through both historical and contemporary examples, it focuses on how conventions of representation are established, maintained, challenged, and transformed. Critical investigations are conjoined with inquiries into aesthetics and technology in the hope that the tensions between them can aid an exploration into how architectural images are produced, disseminated, and valued; how images alter assumptions regarding the appearances of architecture and the environment.For students and academics in architecture, design and media studies, architectural and art history, and related fields, this book shows how design is impacted and changed by shifts in image culture, representational conventions and technologies.
The Reality of the Artificial
by Massimo NegrottiThe human ambition to reproduce and improve natural objects and processes has a long history, and ranges from dreams to actual design, from Icarus's wings to modern robotics and bioengineering. This imperative seems to be linked not only to practical utility but also to our deepest psychology. Nevertheless, reproducing something natural is not an easy enterprise, and the actual replication of a natural object or process by means of some technology is impossible. In this book the author uses the term naturoid to designate any real artifact arising from our attempts to reproduce natural instances. He concentrates on activities that involve the reproduction of something existing in nature, and whose reproduction, through construction strategies which differ from natural ones, we consider to be useful, appealing or interesting. The development of naturoids may be viewed as a distinct class of technological activity, and the concept should be useful for methodological research into establishing the common rules, potentialities and constraints that characterize the human effort to reproduce natural objects. The author shows that a naturoid is always the result of a reduction of the complexity of natural objects, due to an unavoidable multiple selection strategy. Nevertheless, the reproduction process implies that naturoids take on their own new complexity, resulting in a transfiguration of the natural exemplars and their performances, and leading to a true innovation explosion. While the core performances of contemporary naturoids improve, paradoxically the more a naturoid develops the further it moves away from its natural counterpart. Therefore, naturoids will more and more affect our relationships with advanced technologies and with nature, but in ways quite beyond our predictive capabilities. The book will be of interest to design scholars and researchers of technology, cultural studies, anthropology and the sociology of science and technology.
Realization and Model Reduction of Dynamical Systems: A Festschrift in Honor of the 70th Birthday of Thanos Antoulas
by Christopher Beattie Peter Benner Mark Embree Serkan Gugercin Sanda LefteriuThis book celebrates Professor Thanos Antoulas's 70th birthday, marking his fundamental contributions to systems and control theory, especially model reduction and, more recently, data-driven modeling and system identification. Model reduction is a prominent research topic with wide ranging scientific and engineering applications.
The Realization of Star Trek Technologies
by Mark E. LasburyAs Star Trek celebrates its 50th anniversary, the futuristic tools of Kirk, Spock, Scott, and McCoy continue to come to life. This book merges Star Trek scientific lore - how the science of the time informed the implementation of technology in the series - and the science as it is playing out today. Scientists and engineers have made and continue to develop replicators, teletransporters, tractor beams, and vision restoring visors. This book combines the vision of 1966 science fiction with the latest research in engineering, physics, and biotechnology.
Realize Enterprise Architecture with AWS and SAFe: A comprehensive, hands-on guide to AWS with Agile and TOGAF
by Rajnish HarjikaHarness the power of enterprise architecture, AWS, and agile methodologies to optimize operational efficiency in your organizationKey FeaturesUse EA and agile practices to maximize your organization's operational efficiencyLearn how to use EA approaches in AWS through their prescriptive frameworksAlign SAFe principles with EA and cloud migrationBook DescriptionAgile implementation of enterprise architecture (EA) in the cloud is a powerful organizational tool, but it is challenging, particularly for architects who are used to on-premises environments. This in-depth guide will tell you all you need to know to reap the benefits of applying EA in your organization to achieve operational efficiency.Starting with an overview of the foundations of enterprise architecture, you'll see how it can be applied to AWS as well as explore the frameworks AWS provides for EA, such as the AWS Well-Architected Framework. That's not all – the book shows you how these frameworks align with The Open Group Architecture Framework (TOGAF) architecture development method (ADM) and the Zachman Framework so that you can choose the right fit for your organization. As you advance, you'll learn how to apply SAFe to make your organization agile as well as efficient. Once you've gotten to grips with the theory, you can explore use cases and take a quiz at the end of the book to test yourself and see how EA is applied in practice.By the end of this enterprise architecture book, you'll have the skills and knowledge required to apply EA in the cloud with AWS and drive your organization to become super-efficient and agile.What you will learnSet up the core foundation of your enterprise architectureDiscover how TOGAF relates to enterprise architectureExplore AWS's EA frameworks and find out which one is the best for youUse SAFe to maximize agility in your organizationFind out how to use ArchiMate to model your architectureEstablish proper EA practices in your organizationMigrate to the cloud with AWS and SAFeWho this book is forThis agility book is for experienced and inexperienced solutions architects, enterprise architects, and cloud architects who know the basics of software and solutions architecture, along with cloud fundamentals, and are looking to get started with AWS and SAFe to implement enterprise architecture in the cloud.
Realizing an Andreev Spin Qubit: Exploring Sub-gap Structure in Josephson Nanowires Using Circuit QED (Springer Theses)
by Max HaysThe thesis gives the first experimental demonstration of a new quantum bit (“qubit”) that fuses two promising physical implementations for the storage and manipulation of quantum information – the electromagnetic modes of superconducting circuits, and the spins of electrons trapped in semiconductor quantum dots – and has the potential to inherit beneficial aspects of both. This new qubit consists of the spin of an individual superconducting quasiparticle trapped in a Josephson junction made from a semiconductor nanowire. Due to spin-orbit coupling in the nanowire, the supercurrent flowing through the nanowire depends on the quasiparticle spin state. This thesis shows how to harness this spin-dependent supercurrent to achieve both spin detection and coherent spin manipulation. This thesis also represents a significant advancement to our understanding and control of Andreev levels and thus of superconductivity. Andreev levels, microscopic fermionic modes that exist in all Josephson junctions, are the microscopic origin of the famous Josephson effect, and are also the parent states of Majorana modes in the nanowire junctions investigated in this thesis. The results in this thesis are therefore crucial for the development of Majorana-based topological information processing.
Realizing Strategy through Projects: The Executive's Guide (Best Practices in Portfolio, Program, and Project Management)
by Carl MarnewickExecutives should not necessarily know the intricacies of project management, but they should know how project management, as a discipline, can benefit the organization in implementing its strategies and realizing its vision. The only way that executives can effectively apply project management to realize these goals is to have sound knowledge of the project management discipline. The purpose of this book is to provide executives with a comprehensive overview of the discipline of project management. It focuses on the benefits of project management to an organization. The goal is to provide executives with a view as to how project management can deliver organizational strategies. The various chapters focus on specific aspects within the project management discipline and how each aspect should be managed from a business perspective. The book covers the entire spectrum of project management from a management and leadership perspective. The focus is not necessarily on what needs to be done from a project management perspective, but on what organizations and senior executives can do to facilitate projects. The book covers: The value of project management Project management as a strategic enabler Project, program, and portfolio management The role of the project management office in the successful delivery of projects, programs, and portfolios The benefits of project deliverables bring Sustainability of the organization Governance and the role of the project sponsor. The book concludes with a comprehensive portfolio, program, and project management framework. This holistic framework enables organizations to achieve value from project management and realize strategic goals.
Realizing the Metaverse: A Communications and Networking Perspective
by Wei Yang Bryan Lim Zehui Xiong Dusit Niyato Junshan Zhang Xuemin Sherman ShenA guide to the challenges in making virtual reality, reality The Metaverse, a version of the internet in which online interactions take place in real time within fully realized virtual spaces, has been promised as the next frontier in wireless communication. It has drawn huge investment from Silicon Valley and widespread media attention. However, the technologies required to make the Metaverse a reality are still in their infancy, and significant barriers must be overcome if this massive step is to be taken. Realizing the Metaverse provides a systematic overview of these challenges and their likely solutions. Focusing on five key areas—infrastructure, access, intelligence, security, and future developments—it offers one of the first comprehensive, formalized treatments of the Metaverse as a nascent reality. It promises to be an integral contribution to the future development of Metaverse technologies. Realizing the Metaverse readers will also find: An editorial team with extensive research experience in the field Detailed discussion of topics such as augmented reality (AR) adaptation, haptic feedback, artificial intelligence, and more Enlightening discussion of open questions and future prospects for research Realizing the Metaverse is ideal for graduate and advanced undergraduate students in wireless technology, network communications, and related fields, as well as for researchers and industry professionals involved with the Metaverse or adjacent technologies.
Realizing the Promise and Minimizing the Perils of AI for Science and the Scientific Community
by Kathleen Hall Jamieson, William Kearney, and Anne-Marie MazzaRecommendations from the scientific community to ensure that the development and use of AI honors scientific normsIn late 2022, OpenAI released ChatGPT, an AI chatbot capable of generating conversational answers and analyses, as well as images, in response to user questions and prompts. This generative AI is built with computational procedures, such as large language models, that train on vast bodies of human-created and curated data, including huge amounts of scientific literature. Since then, the worry that AI may someday outsmart humans has only grown more widespread.In the past, as society grappled with the implications of new technologies—ranging from nuclear energy to recombinant DNA—the scientific community developed practices designed to increase adherence to the norms that have protected the integrity of each new form of scientific exploration, development, and deployment. In the process, scientists expanded their community’s repertoire of mechanisms designed to advance emerging science and technology while safeguarding the integrity of science and the wellbeing of the nation and its people.This book provides a historical perspective on and an ethical approach to emerging AI technologies; an overview of AI frameworks and principles; and an assessment of AI’s current advances, hurdles, and potential. Experts from the fields of behavioral and social sciences, ethics, biology, physics, chemistry, mathematics, and computer science, as well as leaders in higher education, law, governance, and science publishing and communication, comprise the book’s contributors. Their essays remind us that, even as our understandings of emerging technologies and of their implications evolve, science’s commitment to core norms and values remains steadfast. The volume’s conclusion advocates for following principles of human accountability and responsibility when using artificial intelligence in research, including transparent disclosure and attribution; verification and documentation of AI-generated data and analysis; a focus on ethics and equity; and continuous oversight and public engagement.
Realm of Mystics (Level Up)
by Raelyn DrakeWhen a girl wakes up in a virtual reality fantasy video game, she's sure this must be a mistake. She's not a gamer and she doesn't want to be here. Whether she likes it or not, she's now Em3ra1d_with_3nvy, one player in a four-player team whose mission is to defeat a dragon and rescue the realm's princess. In a game where she has no idea how to play, Em3ra1d_with_3nvy will have to learn to use magic in order to help her team win the game—or risk being trapped within it forever.
Realm of Racket: Learn to Program, One Game at a Time!
by Conrad Barski David Van Horn Matthias Felleisen Northeastern University StudentsRacket is a descendant of Lisp, a programming language renowned for its elegance, power, and challenging learning curve. But while Racket retains the functional goodness of Lisp, it was designed with beginning programmers in mind. Realm of Racket is your introduction to the Racket language.In Realm of Racket, you'll learn to program by creating increasingly complex games. Your journey begins with the Guess My Number game and coverage of some basic Racket etiquette. Next you'll dig into syntax and semantics, lists, structures, and conditionals, and learn to work with recursion and the GUI as you build the Robot Snake game. After that it's on to lambda and mutant structs (and an Orc Battle), and fancy loops and the Dice of Doom. Finally, you'll explore laziness, AI, distributed games, and the Hungry Henry game.As you progress through the games, chapter checkpoints and challenges help reinforce what you've learned. Offbeat comics keep things fun along the way.As you travel through the Racket realm, you'll:–Master the quirks of Racket's syntax and semantics–Learn to write concise and elegant functional programs–Create a graphical user interface using the 2htdp/image library–Create a server to handle true multiplayer gamesRealm of Racket is a lighthearted guide to some serious programming. Read it to see why Racketeers have so much fun!
Realtà Virtuale
by Ajit SinghCon il rapido sviluppo della tecnologia moderna, la tecnologia è ovunque. Il computer è il prodotto più rappresentativo, in quanto nel giro di pochi decenni, ora ci sono molti tipi diversi di computer, ad esempio, l'enorme server situato nella stanza, il personal computer sul tavolo, il computer portatile sulle ginocchia, lo smartphone e il tablet nelle nostre mani, anche il dispositivo indossabile al polso o sulla nostra testa. Il rapporto tra il computer e l'uomo ha subito un cambiamento fondamentale. Human-Computer Interaction (HCI) è un campo di studio che aiuta le persone a controllare le macchine più facilmente, in modo che i computer possano essere utilizzati da una vasta gamma di utenti, dallo specialista delle minoranze alla maggioranza delle persone in tutto il mondo. ACM definisce HCI come "Una disciplina che si occupa della progettazione, valutazione e implementazione di sistemi di calcolo interattivi per uso umano e dello studio dei principali fenomeni che li circondano". (Hewett et al., 2009). All'inizio, abbiamo potuto digitare solo il comando per far funzionare il computer, poi, dopo lo sviluppo dell'interfaccia grafica utente, con la nascita del mouse, abbiamo iniziato a cliccare sull'icona per funzionare" (Hewett et al., 2009). Negli ultimi anni, la tecnologia del touch screen ci ha liberato la mano e possiamo toccare lo schermo per utilizzare il nostro dispositivo. La gente vuole ancora trovare altri modi di interazione con il computer. Come uno dei principali tipi di Human-Computer Interaction Virtual Reality è diventato un argomento caldo negli ultimi anni. Oculus Rift, Google Glass e HoloLens rappresentano la tecnologia più avanzata nel campo della Realtà Virtuale / Realtà Aumentata (AR). La comunicazione tra gli esseri umani e il mondo reale è abbastanza normale, il mondo virtuale è troppo isolato, quindi c'è una piattaforma di comunicazione tra realtà e virtualità che aiuta le persone a trovare più amici? Le persone semplicemen
Realtime Advertising
by Oliver BuschDieses Grundlagenwerk zu Realtime Advertising erklärt praxisnah und fundiert, welche Rolle automatisierte Echtzeit-Werbung in einem orchestrierten Media-Mix spielt und wie sie von Grund auf funktioniert. Denn: Realtime Advertising ist für Marketingverantwortliche so neu, bedrohlich und chancenreich wie die Internetwerbung zur Jahrtausendwende und selbst für viele Marketing- und Mediaexperten erklärungsbedürftig. Führende Branchenexperten aus Unternehmen, Agenturen und Medien erläutern diese revolutionäre Art des digitalen Marketings: Prof. Dr. Jürgen Seitz, Dr. Mark Grether, Aee-Ni Park, Rosa Markarian, Prof. Dr. Burkhardt Funk, Thomas Schauf, Philip Missler, Stanton Sugarman, Kate Burgarth, Stephan Noller, Marco Klimkeit, Edmund Heider, Holm Münstermann, Ingo Tenbrock, Nils Hachen, Arndt Groth, Viktor Zawadzki, Oliver Gertz, Patrick Dawson, Kolja Brosche, Sven Weisbrich, Arno Schäfer, Oliver Weiss, Alexander Gösswein, Sascha Jansen, Wolfgang Bscheid und Julian Simons. Die Autoren liefern außerdem klare Handlungsempfehlungen und handfeste Praxistipps für die begonnene Transformation des Marketings. Extra: Inklusive eBook - den Zugangs-Coupon finden Sie im Buch.
Realtime Data Mining
by Alexander Paprotny Michael ThessDescribing novel mathematical concepts for recommendation engines, Realtime Data Mining: Self-Learning Techniques for Recommendation Engines features a sound mathematical framework unifying approaches based on control and learning theories, tensor factorization, and hierarchical methods. Furthermore, it presents promising results of numerous experiments on real-world data. The area of realtime data mining is currently developing at an exceptionally dynamic pace, and realtime data mining systems are the counterpart of today's "classic" data mining systems. Whereas the latter learn from historical data and then use it to deduce necessary actions, realtime analytics systems learn and act continuously and autonomously. In the vanguard of these new analytics systems are recommendation engines. They are principally found on the Internet, where all information is available in realtime and an immediate feedback is guaranteed. This monograph appeals to computer scientists and specialists in machine learning, especially from the area of recommender systems, because it conveys a new way of realtime thinking by considering recommendation tasks as control-theoretic problems. Realtime Data Mining: Self-Learning Techniques for Recommendation Engines will also interest application-oriented mathematicians because it consistently combines some of the most promising mathematical areas, namely control theory, multilevel approximation, and tensor factorization.
The Reasoned Schemer, second edition (The\mit Press Ser.)
by Daniel P. Friedman William E. Byrd Oleg Kiselyov Jason HemannA new edition of a book, written in a humorous question-and-answer style, that shows how to implement and use an elegant little programming language for logic programming.The goal of this book is to show the beauty and elegance of relational programming, which captures the essence of logic programming. The book shows how to implement a relational programming language in Scheme, or in any other functional language, and demonstrates the remarkable flexibility of the resulting relational programs. As in the first edition, the pedagogical method is a series of questions and answers, which proceed with the characteristic humor that marked The Little Schemer and The Seasoned Schemer. Familiarity with a functional language or with the first five chapters of The Little Schemer is assumed. For this second edition, the authors have greatly simplified the programming language used in the book, as well as the implementation of the language. In addition to revising the text extensively, and simplifying and revising the “Laws” and “Commandments,” they have added explicit “Translation” rules to ease translation of Scheme functions into relations.
Reasoning about Preference Dynamics
by Fenrong LiuOur preferences determine how we act and think, but exactly what the mechanics are and how they work is a central cause of concern in many disciplines. This book uses techniques from modern logics of information flow and action to develop a unified new theory of what preference is and how it changes. The theory emphasizes reasons for preference, as well as its entanglement with our beliefs. Moreover, the book provides dynamic logical systems which describe the explicit triggers driving preference change, including new information, suggestions, and commands. In sum, the book creates new bridges between many fields, from philosophy and computer science to economics, linguistics, and psychology. For the experienced scholar access to a large body of recent literature is provided and the novice gets a thorough introduction to the action and techniques of dynamic logic.
Reasoning and Language at Work: A Critical Essay (Studies in Computational Intelligence #991)
by Enric Trillas Settimo Termini Marco Elio TabacchiThis book furthers the historical and technical debate by looking at reasoning as the action of language when it is devoted to explaining or foretelling, based on the authors’ centennial combined experience in fuzzy logic. A simple logical model mixing abductions and deductions is introduced in order to attain speculations, conjectures that may be responsible for induction, and creativity in reasoning. A central point and a dire hypothesis of the book are that such process can be implemented by computation and as such can lead to a new approach to automatic thinking and reasoning. On top of the technical approach, the relationship between reasoning and thinking is also analyzed trying to establish links with notions and concepts of thinkers from the European Middle Age to the current days. This book is recommended to young researchers that are interested in either the scientific or philosophical aspects of computational thinking, and can further the debate between the two approaches.
Reasoning Web: 12th International Summer School 2016, Aberdeen, UK, September 5-9, 2016, Tutorial Lectures (Lecture Notes in Computer Science #9885)
by Jeff Z. Pan, Diego Calvanese, Thomas Eiter, Ian Horrocks, Michael Kifer, Fangzhen Lin and Yuting ZhaoThis volume contains some lecture notes of the 12th Reasoning Web Summer School (RW 2016), held in Aberdeen, UK, in September 2016.In 2016, the theme of the school was “Logical Foundation of Knowledge Graph Construction and Query Answering”. The notion of knowledge graph has become popular since Google started to use it to improve its search engine in 2012. Inspired by the success of Google, knowledge graphs are gaining momentum in the World Wide Web arena. Recent years have witnessed increasing industrial take-ups by other Internet giants, including Facebook's Open Graph and Microsoft's Satori. The aim of the lecture note is to provide a logical foundation for constructing and querying knowledge graphs. Our journey starts from the introduction of Knowledge Graph as well as its history, and the construction of knowledge graphs by considering both explicit and implicit author intentions. The book will then cover various topics, including how to revise and reuse ontologies (schema of knowledge graphs) in a safe way, how to combine navigational queries with basic pattern matching queries for knowledge graph, how to setup a environment to do experiments on knowledge graphs, how to deal with inconsistencies and fuzziness in ontologies and knowledge graphs, and how to combine machine learning and machine reasoning for knowledge graphs.
Reasoning Web. Causality, Explanations and Declarative Knowledge: 18th International Summer School 2022, Berlin, Germany, September 27–30, 2022, Tutorial Lectures (Lecture Notes in Computer Science #13759)
by Leopoldo Bertossi Guohui XiaoThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was “Reasoning in Probabilistic Models and Machine Learning” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Logic-Based Explainability in Machine Learning; Causal Explanations and Fairness in Data; Statistical Relational Extensions of Answer Set Programming; Vadalog: Its Extensions and Business Applications; Cross-Modal Knowledge Discovery, Inference, and Challenges; Reasoning with Tractable Probabilistic Circuits; From Statistical Relational to Neural Symbolic Artificial Intelligence; Building Intelligent Data Apps in Rel using Reasoning and Probabilistic Modelling.
Reasoning Web. Declarative Artificial Intelligence: 19th International Summer School 2023 Oslo, Norway, September 21–24, 2023, Tutorial Lectures (Lecture Notes in Computer Science #15400)
by Marco Console Boris KonevThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers. The broad theme of this year's summer school was “Declarative Artificial Intelligence: Knowledge, Rules, Logic." The following eight lectures were presented during the school: Declarative AI for Industry: Methods, Applications, Trends; Ontologies vs Constraints; Termination of Reasoning; Compact Query Rewritings for Ontology Based Query Answering; Graph Queries and Description Logics; Controlled Query Evaluation in Description Logic Ontologies; Learning from Neural Networks with Queries and Counter Examples; and Proof-Theoretic Approaches in Logical Argumentation.
Reasoning Web. Declarative Artificial Intelligence: 17th International Summer School 2021, Leuven, Belgium, September 8–15, 2021, Tutorial Lectures (Lecture Notes in Computer Science #13100)
by Mantas Šimkus Ivan VarzinczakThe purpose of the Reasoning Web Summer School is to disseminate recent advances on reasoning techniques and related issues that are of particular interest to Semantic Web and Linked Data applications. It is primarily intended for postgraduate students, postdocs, young researchers, and senior researchers wishing to deepen their knowledge. As in the previous years, lectures in the summer school were given by a distinguished group of expert lecturers.The broad theme of this year's summer school was again “Declarative Artificial Intelligence” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures were presented during the school: Foundations of Graph Path Query Languages; On Combining Ontologies and Rules; Modelling Symbolic Knowledge Using Neural Representations; Mining the Semantic Web with Machine Learning: Main Issues That Need to Be Known; Temporal ASP: From Logical Foundations to Practical Use with telingo; A Review of SHACL: From Data Validation to Schema Reasoning for RDF Graphs; and Score-Based Explanations in Data Management and Machine Learning.
Reasoning Web. Declarative Artificial Intelligence: 16th International Summer School 2020, Oslo, Norway, June 24–26, 2020, Tutorial Lectures (Lecture Notes in Computer Science #12258)
by Marco Manna Andreas PierisThis volume contains 8 lecture notes of the 16th Reasoning Web Summer School (RW 2020), held in Oslo, Norway, in June 2020. The Reasoning Web series of annual summer schools has become the prime educational event in the field of reasoning techniques on the Web, attracting both young and established researchers. The broad theme of this year's summer school was “Declarative Artificial Intelligence” and it covered various aspects of ontological reasoning and related issues that are of particular interest to Semantic Web and Linked Data applications. The following eight lectures have been presented during the school: Introduction to Probabilistic Ontologies, On the Complexity of Learning Description Logic Ontologies, Explanation via Machine Arguing, Stream Reasoning: From Theory to Practice, First-Order Rewritability of Temporal Ontology-Mediated Queries, An Introduction to Answer Set Programming and Some of Its Extensions, Declarative Data Analysis using Limit Datalog Programs, and Knowledge Graphs: Research Directions.