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Think Julia: How to Think Like a Computer Scientist
by Allen B. Downey Ben LauwensIf you’re just learning how to program, Julia is an excellent JIT-compiled, dynamically-typed language with a clean syntax. This hands-on guide uses Julia (version 1.0) to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch.Designed from the beginning for high performance, Julia is a general-purpose language not only ideal for numerical analysis and computational science, but also for web programming or scripting. Through exercises in each chapter, you’ll try out programming concepts as you learn them.Think Julia is ideal for students at the high school or college level, as well as self-learners, home-schooled students, and professionals who need to learn programming basics.Start with the basics, including language syntax and semanticsGet a clear definition of each programming conceptLearn about values, variables, statements, functions, and data structures in a logical progressionDiscover how to work with files and databasesUnderstand types, methods, and multiple dispatchUse debugging techniques to fix syntax, runtime, and semantic errorsExplore interface design and data structures through case studies
Think Java: How to Think Like a Computer Scientist
by Allen B. Downey Chris MayfieldCurrently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You'll learn how to program--a useful skill by itself--but you'll also discover how to use programming as a means to an end.Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you've learned.Learn one concept at a time: tackle complex topics in a series of small steps with examplesUnderstand how to formulate problems, think creatively about solutions, and write programs clearly and accuratelyDetermine which development techniques work best for you, and practice the important skill of debuggingLearn relationships among input and output, decisions and loops, classes and methods, strings and arraysWork on exercises involving word games, graphics, puzzles, and playing cards
Think Java: How to Think Like a Computer Scientist
by Allen B. Downey Chris MayfieldCurrently used at many colleges, universities, and high schools, this hands-on introduction to computer science is ideal for people with little or no programming experience. The goal of this concise book is not just to teach you Java, but to help you think like a computer scientist. You’ll learn how to program—a useful skill by itself—but you’ll also discover how to use programming as a means to an end.Authors Allen Downey and Chris Mayfield start with the most basic concepts and gradually move into topics that are more complex, such as recursion and object-oriented programming. Each brief chapter covers the material for one week of a college course and includes exercises to help you practice what you’ve learned.Learn one concept at a time: tackle complex topics in a series of small steps with examplesUnderstand how to formulate problems, think creatively about solutions, and write programs clearly and accuratelyDetermine which development techniques work best for you, and practice the important skill of debuggingLearn relationships among input and output, decisions and loops, classes and methods, strings and arraysWork on exercises involving word games, graphics, puzzles, and playing cardsThe updated second edition of Think Java also features new chapters on polymorphism and data processing, as well as content covering changes through Java 12.
Think Perl 6: How to Think Like a Computer Scientist
by Allen B. Downey Laurent RosenfeldWant to learn how to program and think like a computer scientist? This practical guide gets you started on your programming journey with the help of Perl 6, the younger sister of the popular Perl programming language. Ideal for beginners, this hands-on book includes over 100 exercises with multiple solutions, and more than 1,000 code examples so you can quickly practice what you learn. Experienced programmers—especially those who know Perl 5—will also benefit.Divided into two parts, Think Perl 6 starts with basic concepts that every programmer needs to know, and then focuses on different programming paradigms and some more advanced programming techniques. With two semesters’ worth of lessons, this book is the perfect teaching tool for computer science beginners in colleges and universities.Learn basic concepts including variables, expressions, statements, functions, conditionals, recursion, and loopsUnderstand commonly used basic data structures and the most useful algorithmsDive into object-oriented programming, and learn how to construct your own types and methods to extend the languageUse grammars and regular expressions to analyze textual contentExplore how functional programming can help you make your code simpler and more expressive
Practical Swift
by Eric DowneyTake a firsthand tour of Xcode and all the latest features Swift 3 has to offer. If you have picked up this book, chances are you know a little bit about Swift Programming. With Practical Swift you'll develop an advanced understanding of the language that will enable you to create a reference guide using Xcode Playgrounds, one you can continue to grow throughout your iOS career. This book not only shows you how to code in a clean and concise manner, but also the why behind the code. Understanding why will be instrumental in your advancement as a Swift developer. What You'll learn: Review the evolution of Swift and the latest features in Swift 3 Study architecture and design patterns Examine Protocol Oriented Programming Understand Swift generics Test Swift code Build an iOS App with core data from scratch Who This Book Is For: The primary audience for this book is developers who have started learning iOS and Swift and want to learn more of the intermediate to advanced topics available in Swift. The secondary audience is developers who have experience in iOS and Swift and want a good reference book for concepts they might already know, but are looking to re-enforce.
Turing's Legacy: Developments from Turing's Ideas in Logic
by Rod DowneyAlan Turing was an inspirational figure who is now recognised as a genius of modern mathematics. In addition to leading the Allied forces' code-breaking effort at Bletchley Park in World War II, he proposed the theoretical foundations of modern computing and anticipated developments in areas from information theory to computer chess. His ideas have been extraordinarily influential in modern mathematics and this book traces such developments by bringing together essays by leading experts in logic, artificial intelligence, computability theory and related areas. Together, they give insight into this fascinating man, the development of modern logic, and the history of ideas. The articles within cover a diverse selection of topics, such as the development of formal proof, differing views on the Church–Turing thesis, the development of combinatorial group theory, and Turing's work on randomness which foresaw the ideas of algorithmic randomness that would emerge many years later.
Fundamentals of Parameterized Complexity
by Rodney G. Downey Michael R. FellowsThis comprehensive and self-contained textbook presents an accessible overview of the state of the art of multivariate algorithmics and complexity. Increasingly, multivariate algorithmics is having significant practical impact in many application domains, with even more developments on the horizon. The text describes how the multivariate framework allows an extended dialog with a problem, enabling the reader who masters the complexity issues under discussion to use the positive and negative toolkits in their own research. Features: describes many of the standard algorithmic techniques available for establishing parametric tractability; reviews the classical hardness classes; explores the various limitations and relaxations of the methods; showcases the powerful new lower bound techniques; examines various different algorithmic solutions to the same problems, highlighting the insights to be gained from each approach; demonstrates how complexity methods and ideas have evolved over the past 25 years.
Guide to Web Development with Java: Understanding Website Creation (Texts in Computer Science)
by Tim DowneyThis comprehensive Guide to Web Development with Java introduces the readers to the three-tiered, Model-View-Controller architecture by using Spring JPA, JSPs, and Spring MVC controllers. These three technologies use Java, so that a student with a background in programming will be able to master them with ease, with the end result of being able to create web applications that use MVC, validate user input,and save data to a database.Topics and features:• Presents web development topics in an accessible, easy-to-follow style, focusing on core information first, and allowing the reader to gain basic understanding before moving forwards• Contains many helpful pedagogical tools for students and lecturers, such as questions and exercises at the end of each chapter, detailed illustrations, chapter summaries, and a glossary• Uses existing powerful technologies that are freely available on the web to speed up web development, such as Spring Boot, Spring MVC, Spring JPA, Hibernate, JSP, JSTL, and Java 1.8• Discusses HTML, HTML forms, and Cascading Style Sheets• Starts with the simplest technology for web development (JSP) and gradually introduces the reader to more complex topics• Introduces core technologies from the outset, such as the Model-View-Controller architecture• Includes examples for accessing common web services• Provides supplementary examples and tutorials
Guide to Web Development with Java
by Tim DowneyThis comprehensive textbook introduces readers to the three-tiered, Model-View-Controller (MVC) architecture by using Hibernate, JSPs, and Java Servlets. These three technologies all use Java, so that a student with a background in programming will be able to master them with ease, with the end result of being able to create web applications that use MVC, validate user input and save data to a database. Features: presents the many topics of web development in small steps, in an accessible, easy-to-follow style; uses powerful technologies that are freely available on the web to speed up web development, such as JSP, JavaBeans, annotations, JSTL, Java 1.5, Hibernate and Tomcat; discusses HTML, HTML Forms, Cascading Style Sheets and XML; introduces core technologies from the outset, such as the MVC architecture; contains questions and exercises at the end of each chapter, detailed illustrations, chapter summaries, and a glossary; includes examples for accessing common web services.
Gradient Expectations: Structure, Origins, and Synthesis of Predictive Neural Networks
by Keith L. DowningAn insightful investigation into the mechanisms underlying the predictive functions of neural networks—and their ability to chart a new path for AI.Prediction is a cognitive advantage like few others, inherently linked to our ability to survive and thrive. Our brains are awash in signals that embody prediction. Can we extend this capability more explicitly into synthetic neural networks to improve the function of AI and enhance its place in our world? Gradient Expectations is a bold effort by Keith L. Downing to map the origins and anatomy of natural and artificial neural networks to explore how, when designed as predictive modules, their components might serve as the basis for the simulated evolution of advanced neural network systems.Downing delves into the known neural architecture of the mammalian brain to illuminate the structure of predictive networks and determine more precisely how the ability to predict might have evolved from more primitive neural circuits. He then surveys past and present computational neural models that leverage predictive mechanisms with biological plausibility, identifying elements, such as gradients, that natural and artificial networks share. Behind well-founded predictions lie gradients, Downing finds, but of a different scope than those that belong to today&’s deep learning. Digging into the connections between predictions and gradients, and their manifestation in the brain and neural networks, is one compelling example of how Downing enriches both our understanding of such relationships and their role in strengthening AI tools. Synthesizing critical research in neuroscience, cognitive science, and connectionism, Gradient Expectations offers unique depth and breadth of perspective on predictive neural-network models, including a grasp of predictive neural circuits that enables the integration of computational models of prediction with evolutionary algorithms.
Logic And Declarative Language
by M. DownwardLogic has acquired a reputation for difficulty, perhaps because many of the approaches adopted have been more suitable for mathematicians than computer scientists. This book shows that the subject is not inherently difficult and that the connections between logic and declarative language are straightforward. Many exercises have been included in the hope that these will lead to a much greater confidence in manual proofs, therefore leading to a greater confidence in automated proofs.
Practical Automation with PowerShell
by Matthew DowstTake PowerShell beyond simple scripts and build time-saving automations for your team, your users, and the world.In Practical Automation with PowerShell you will learn how to: Build PowerShell functions to automate common and complex tasks Create smart automations that are adaptable to new challenges Structure your code for sharing and reusability Store and secure your automations Execute automations with Azure Automation, Jenkins, Task Scheduler, and Cron Share your automations with your team and non-technical colleagues Store and retrieve data, credentials, and variables Use source control solutions to maintain and test code changes Provide front-end UI solutions for PowerShell automations Practical Automation in PowerShell reveals how you can use PowerShell to build automation solutions for a huge number of common admin and DevOps tasks. Author Matthew Dowst uses his decades of experience to lay out a real blueprint for setting up an enterprise scripting environment with PowerShell. The book goes beyond the basics to show you how to handle the unforeseen complexities that can keep automations from becoming reusable and resilient. From the console to the cloud, you'll learn how to manage your code, avoid common pitfalls, and create sharable automations that are adaptable to different use cases. About the Technology The PowerShell scripting language is a force multiplier, giving you programmatic control over your whole data center. With this powerful tool, you can create reusable automations that radically improve consistency and productivity on your Ops team. This book shows you how to design, write, organize, and deploy scripts to automate operations on systems of all sizes, from local servers to enterprise clusters in the cloud. About the Book Practical Automation with PowerShell: Effective scripting from the console to the cloud shows you how to build PowerShell automations for local and cloud systems. In it, you&’ll find tips for identifying automatable tasks, techniques for structuring and managing scripts, and lots of well-explained example code. You&’ll even learn how to adapt existing scripts to new use cases and empower non-technical users through easy-to-understand SharePoint frontends. What&’s Inside Structure PowerShell code for sharing and reusability Store and secure your automations Execute automation with Azure Automation, Jenkins, Task Scheduler, and Cron Store and retrieve data, credentials, and variables Use source control solutions to maintain and test code changes About the Reader For sysadmin and IT professionals who manage backend systems. About the Author Matthew Dowst has over 15 years of experience in IT management and consulting. Table of contents PART 1 1 PowerShell automation 2 Get started automating PART 2 3 Scheduling automation scripts 4 Handling sensitive data 5 PowerShell remote execution 6 Making adaptable automations 7 Working with SQL 8 Cloud-based automation 9 Working outside of PowerShell 10 Automation coding best practices PART 3 11 End-user scripts and forms 12 Sharing scripts among a team 13 Testing your scripts 14 Maintaining your code
Introducing Go
by Caleb DoxseyPerfect for beginners familiar with programming basics, this hands-on guide provides an easy introduction to Go, the general-purpose programming language from Google. Author Caleb Doxsey covers the language's core features with step-by-step instructions and exercises in each chapter to help you practice what you learn.Go is a general-purpose programming language with a clean syntax and advanced features, including concurrency. This book provides the one-on-one support you need to get started with the language, with short, easily digestible chapters that build on one another. By the time you finish this book, not only will you be able to write real Go programs, you'll be ready to tackle advanced techniques.Jump into Go basics, including data types, variables, and control structuresLearn complex types, such as slices, functions, structs, and interfacesExplore Go's core library and learn how to create your own packageWrite tests for your code by using the language's go test programLearn how to run programs concurrently with goroutines and channelsGet suggestions to help you master the craft of programming
C# Programming: From Problem Analysis to Program Design
by Barbara DoyleOnly Doyle's C# PROGRAMMING: FROM PROBLEM ANALYSIS TO PROGRAM DESIGN, 4E brilliantly balances today's most important programming principles and concepts with the latest insights into C#. This perfect introductory book highlights the latest Visual Studio 2012 and C# 4. 0 with a unique, principles-based approach to give readers a deep understanding of programming. You'll find just the right amount of detail to create an important foundation in programming. This edition's straightforward approach and understandable vocabulary make it easier for readers to grasp new programming concepts without distraction. The book introduces a variety of fundamental programming concepts, from data types and expressions to arrays and collections, all using the popular C# language. New programming exercises and new numbered examples throughout this edition reflect the latest updates in Visual Studio 2012, while learning objectives, case studies and Coding Standards summaries in each chapter ensure mastery. While the book assumes no prior programming knowledge, coverage extends beyond traditional books to cover new advanced topics, such as portable class libraries used to create applications for Windows Phone and other platforms.
What Does it Mean to be Human? Life, Death, Personhood and the Transhumanist Movement (Anticipation Science #3)
by D. John DoyleThis book is a critical examination of the philosophical and moral issues in relation to human enhancement and the various related medical developments that are now rapidly moving from the laboratory into the clinical realm. In the book, the author critically examines technologies such as genetic engineering, neural implants, pharmacologic enhancement, and cryonic suspension from transhumanist and bioconservative positions, focusing primarily on moral issues and what it means to be a human in a setting where technological interventions sometimes impact strongly on our humanity. The author also introduces the notion that death is a process rather than an event, as well as identifies philosophical and clinical limitations in the contemporary determination of brain death as a precursor to organ procurement for transplantation. The discussion on what exactly it means to be dead is later applied to explore philosophical and clinical issues germane to the cryonics movement. Written by a physician/ scientist and heavily referenced to the peer-reviewed medical and scientific literature, the book is aimed at advanced students and academics but should be readable by any intelligent reader willing to carry out some side-reading. No prior knowledge of moral philosophy is assumed, as the various key approaches to moral philosophy are outlined early in the book.
Beginning PHP 5.3
by Matt DoyleThis book is intended for anyone starting out with PHP programming. If you've previously worked in another programming language such as Java, C#, or Perl, you'll probably pick up the concepts in the earlier chapters quickly; however, the book assumes no prior experience of programming or of building Web applications. That said, because PHP is primarily a Web technology, it will help if you have at least some knowledge of other Web technologies, particularly HTML and CSS. Many Web applications make use of a database to store data, and this book contains three chapters on working with MySQL databases. Once again, if you're already familiar with databases in general -- and MySQL in particular -- you'll be able to fly through these chapters. However, even if you've never touched a database before in your life, you should still be able to pick up a working knowledge by reading through these chapters.
Exam Ref 70-332: Advanced Solutions of Microsoft SharePoint Server 2013
by Michael DoylePrepare for Exam 70-332--and help demonstrate your real-world mastery of Microsoft SharePoint Server 2013. Designed for experienced IT Professionals ready to advance their status, Exam Ref focuses on the critical-thinking and decision-making acumen needed for success at the MCSE level. Focus on the expertise measured by these objectives: Plan Business Continuity Management Plan a SharePoint Environment Upgrade and Migrate a SharePoint Environment Create and Configure Service Applications Manage SharePoint Solutions, BI, and Systems Integration
Microsoft® SharePoint® 2010: Customizing My Site
by Michael DoyleCustomize your implementation of My Site in Microsoft® SharePoint® 2010--and capture the enthusiasm for social networking in your organization. With this concise, practical guide, SharePoint expert Michael Doyle shows you how to modify key My Site features to meet specific business needs. You'll learn how to apply best practices, tackle hard-to-solve problems--and create a valuable sense of community for your employees. It's the ideal quick reference for IT and business professionals alike. Take charge of social networking opportunities with a custom My Site solution! Set up My Site user profiles with Active Directory® data Help users share ideas, documents, and personal information Create several My Site hosts to serve distinct audiences Establish unified profiles across multiple SharePoint farms Apply your company's look and feel with themes Determine a user content quota to avoid taxing your database Manage metadata to keep user tags consistent on each site Edit profile properties to personalize the Twitter widget
Windows PowerShell 2.0 Scripting für Administratoren
by Tobias Weltner Dr.Wenn Sie sich für die Automatisierung der Verwaltung von Windows-Systemen mit den vielfältigen Möglichkeiten von Windows PowerShell 2.0 interessieren, finden Sie in diesem Buch zahlreiche Beispielskripts aus allen wichtigen administrativen Bereichen. Einer der bekanntesten Scripting-Experten Deutschlands stellt Ihnen die wichtigsten Cmdlets vor und liefert Ihnen viele Beispielskripts, die Sie sofort einsetzen, anpassen und erweitern können. Dieses Buch ist ein Nachschlagewerk für die PowerShell-Praxis, die vielen hilfreichen Codebeispiele in diesem Buch sind ohne größeres Vorwissen für den Praktiker sofort einsetzbar.
Technology Enhanced Assessment: 21st International Conference, TEA 2018, Amsterdam, The Netherlands, December 10–11, 2018, Revised Selected Papers (Communications in Computer and Information Science #1014)
by Silvester Draaijer Desirée Joosten-ten Brinke Eric RasThis book constitutes the proceedings of the 21st International Conference on Technology Enhanced Assessment, TEA 2018, held in Amsterdam, The Netherlands, in December 2018. The 14 papers presented were carefully selected from 34 submissions. They are centered around topics like e-learning, computer-assisted instruction, interactive learning environments, collaborative learning, computing education, student assessment.
Practical Data Analysis Cookbook
by Tomasz DrabasOver 60 practical recipes on data exploration and analysis About This Book * Clean dirty data, extract accurate information, and explore the relationships between variables * Forecast the output of an electric plant and the water flow of American rivers using pandas, NumPy, Statsmodels, and scikit-learn * Find and extract the most important features from your dataset using the most efficient Python libraries Who This Book Is For If you are a beginner or intermediate-level professional who is looking to solve your day-to-day, analytical problems with Python, this book is for you. Even with no prior programming and data analytics experience, you will be able to finish each recipe and learn while doing so. What You Will Learn * Read, clean, transform, and store your data usng Pandas and OpenRefine * Understand your data and explore the relationships between variables using Pandas and D3.js * Explore a variety of techniques to classify and cluster outbound marketing campaign calls data of a bank using Pandas, mlpy, NumPy, and Statsmodels * Reduce the dimensionality of your dataset and extract the most important features with pandas, NumPy, and mlpy * Predict the output of a power plant with regression models and forecast water flow of American rivers with time series methods using pandas, NumPy, Statsmodels, and scikit-learn * Explore social interactions and identify fraudulent activities with graph theory concepts using NetworkX and Gephi * Scrape Internet web pages using urlib and BeautifulSoup and get to know natural language processing techniques to classify movies ratings using NLTK * Study simulation techniques in an example of a gas station with agent-based modeling In Detail Data analysis is the process of systematically applying statistical and logical techniques to describe and illustrate, condense and recap, and evaluate data. Its importance has been most visible in the sector of information and communication technologies. It is an employee asset in almost all economy sectors. This book provides a rich set of independent recipes that dive into the world of data analytics and modeling using a variety of approaches, tools, and algorithms. You will learn the basics of data handling and modeling, and will build your skills gradually toward more advanced topics such as simulations, raw text processing, social interactions analysis, and more. First, you will learn some easy-to-follow practical techniques on how to read, write, clean, reformat, explore, and understand your data--arguably the most time-consuming (and the most important) tasks for any data scientist. In the second section, different independent recipes delve into intermediate topics such as classification, clustering, predicting, and more. With the help of these easy-to-follow recipes, you will also learn techniques that can easily be expanded to solve other real-life problems such as building recommendation engines or predictive models. In the third section, you will explore more advanced topics: from the field of graph theory through natural language processing, discrete choice modeling to simulations. You will also get to expand your knowledge on identifying fraud origin with the help of a graph, scrape Internet websites, and classify movies based on their reviews. By the end of this book, you will be able to efficiently use the vast array of tools that the Python environment has to offer. Style and approach This hands-on recipe guide is divided into three sections that tackle and overcome real-world data modeling problems faced by data analysts/scientist in their everyday work. Each independent recipe is written in an easy-to-follow and step-by-step fashion.
Learning PySpark
by Tomasz Drabas Denny LeeBuild data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0 About This Book • Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0 • Develop and deploy efficient, scalable real-time Spark solutions • Take your understanding of using Spark with Python to the next level with this jump start guide Who This Book Is For If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this book is for you. A firm understanding of Python is expected to get the best out of the book. Familiarity with Spark would be useful, but is not mandatory. What You Will Learn • Learn about Apache Spark and the Spark 2.0 architecture • Build and interact with Spark DataFrames using Spark SQL • Learn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectively • Read, transform, and understand data and use it to train machine learning models • Build machine learning models with MLlib and ML • Learn how to submit your applications programmatically using spark-submit • Deploy locally built applications to a cluster In Detail Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark. You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command. By the end of this book, you will have established a firm understanding of the Spark Python API and how it can be used to build data-intensive applications. Style and approach This book takes a very comprehensive, step-by-step approach so you understand how the Spark ecosystem can be used with Python to develop efficient, scalable solutions. Every chapter is standalone and written in a very easy-to-understand manner, with a focus on both the hows and the whys of each concept.
Verification, Model Checking, and Abstract Interpretation: 24th International Conference, VMCAI 2023, Boston, MA, USA, January 16–17, 2023, Proceedings (Lecture Notes in Computer Science #13881)
by Cezara Dragoi Michael Emmi Jingbo WangThis book constitutes the proceedings of the 24th International Conference on Verification, Model Checking, and Abstract Interpretation, VMCAI 2023, which took place in Boston, USA, in January 2023. The 17 full papers presented in this book were carefully reviewed and selected from 34 submissions. The contributions deal with program verification, model checking, abstract interpretation, program synthesis, static analysis, type systems, deductive methods, decision procedures, theorem proving, program certification, debugging techniques, program transformation, optimization, and hybrid and cyber-physical systems.
OWL: 13th International Workshop, OWLED 2016, and 5th International Workshop, ORE 2016, Bologna, Italy, November 20, 2016, Revised Selected Papers (Lecture Notes in Computer Science #10161)
by Mauro Dragoni María Poveda-Villalón Ernesto Jimenez-RuizThis book constitutes the thoroughly refereed conference proceedings of the 13International Workshop on OWL: Experiences and Directions, OWLED 2016, and the 5th International Workshop on OWL: Reasoner Evaluation, ORE 2016, held in Bologna, Italy in November 20, 2016. The Workshops were co-located with the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016. The 11 revised full papers, 3 short paper and one invited talk presented were carefully reviewed and selected from 27 initial submissions. The papers are trying to bridge the gap between ontology engineering practices and software engineering with the aim of describing reuse methods employed throughout the ontology development cycle; modeling/terminological decisions, alignment and comparison between ontologies, how ontologies are stored, versioned, distributed and consumed over the Web.
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.