The vast amounts of ontologically unstructured information on the Web, including HTML, XML and JSON documents, natural language documents, tweets, blogs, markups, and even structured documents like CSV tables, all contain useful knowledge that can present a tremendous advantage to the Artificial Intelligence community if extracted robustly, efficiently and semi-automatically as knowledge graphs . Domain-specific Knowledge Graph Construction (KGC) is an active research area that has recently witnessed impressive advances due to machine learning techniques like deep neural networks and word embeddings. This book will synthesize Knowledge Graph Construction over Web Data in an engaging and accessible manner. The book will describe a timely topic for both early -and mid-career researchers. Every year, more papers continue to be published on knowledge graph construction, especially for difficult Web domains. This work would serve as a useful reference, as well as an accessible but rigorous overview of this body of work. The book will present interdisciplinary connections when possible to engage researchers looking for new ideas or synergies. This will allow the book to be marketed in multiple venues and conferences. The book will also appeal to practitioners in industry and data scientists since it will have chapters on both data collection, as well as a chapter on querying and off-the-shelf implementations. The author has, and continues to, present on this topic at large and important conferences. He plans to make the powerpoint he presents available as a supplement to the work. This will draw a natural audience for the book. Some of the reviewers are unsure about his position in the community but that seems to be more a function of his age rather than his relative expertise. I agree with some of the reviewers that the title is a little complicated. I would recommend ´´Domain Specific Knowledge Graphs´´.
Coq is an interactive proof assistant for the development of mathematical theories and formally certified software. It is based on a theory called the calculus of inductive constructions, a variant of type theory. This book provides a pragmatic introduction to the development of proofs and certified programs using Coq. With its large collection of examples and exercises it is an invaluable tool for researchers, students, and engineers interested in formal methods and the development of zero-fault software.
The book gives readers a practical introduction to reactive programming with Actor Model. The reader is given a brief but detailed background on using the Scala programming language and how to program using Scala and the Akka toolkit. After covering the basics and establishing a foundation, the book takes readers through a series of message-based integration cookbook solutions, including: Messaging Systems, Messaging Channels, Message Construction, Message Routing, Message Transportation, Message Endpoints, and System Management. The book follows the proven method presented in ´´Enterprise Integration Patterns´´ by Gregor Hohpe and Bobby Woolf, but gives solutions based on the use of Scala and Akka.
This book presents a variety of widely used algorithms, expressing them in a pure functional programming language to make their structure and operation clearer to readers. In the opening chapter the author introduces the specific notations that constitute the variant of Scheme that he uses. The second chapter introduces many of the simpler and more general patterns available in functional programming. The chapters that follow introduce and explain data structures, sorting, combinatorial constructions, graphs, and sublist search. Throughout the book the author presents the algorithms in a purely functional version of the Scheme programming language, which he makes available on his website. The book is supported with exercises, and it is suitable for undergraduate and graduate courses on programming techniques.
The book presents a self-contained overview of the state of the art in the complexity of lattice problems, with particular emphasis on problems that are related to the construction of cryptographic functions. Specific topics covered are the strongest known inapproximability result for the shortest vector problem; the relations between this and other computational lattice problems; an exposition of how cryptographic functions can be built and prove secure based on worst-case hardness assumptions about lattice problems; and a study of the limits of non-approximability of lattice problems. Some background in complexity theory, but no prior knowledge about lattices, is assumed. Lattices are geometric objects that can be pictorially described as the set of intersection points of an infinite, regular n-dimensional grid. De spite their apparent simplicity, lattices hide a rich combinatorial struc ture, which has attracted the attention of great mathematicians over the last two centuries. Not surprisingly, lattices have found numerous ap plications in mathematics and computer science, ranging from number theory and Diophantine approximation, to combinatorial optimization and cryptography. The study of lattices, specifically from a computational point of view, was marked by two major breakthroughs: the development of the LLL lattice reduction algorithm by Lenstra, Lenstra and Lovasz in the early 80´s, and Ajtai´s discovery of a connection between the worst-case and average-case hardness of certain lattice problems in the late 90´s. The LLL algorithm, despite the relatively poor quality of the solution it gives in the worst case, allowed to devise polynomial time solutions to many classical problems in computer science. These include, solving integer programs in a fixed number of variables, factoring polynomials over the rationals, breaking knapsack based cryptosystems, and finding solutions to many other Diophantine and cryptanalysis problems.
From object technology pioneer and ETH Zurich professor Bertrand Meyer, winner of the Jolt award and the ACM Software System Award, a revolutionary textbook that makes learning programming fun and rewarding. Meyer builds his presentation on a rich object-oriented software system supporting graphics and multimedia, which students can use to produce impressive applications from day one, then understand inside out as they learn new programming techniques. Unique to Touch of Class is a combination of a practical, hands-on approach to programming with the introduction of sound theoretical support focused on helping students learn the construction of high quality software. The use of full color brings exciting programming concepts to life. Among the useful features of the book is the use of Design by Contract, critical to software quality and providing a gentle introduction to formal methods. Will give students a major advantage by teaching professional-level techniques in a literate, relaxed and humorous way.
Twenty-two breakthrough ´´thinking tools´´ that help developers customize the right agile process to meet the needs of any software project. A clear path for more rapid and less expensive development of robust software applications Lean techniques have already achieved great success in other industries including auto manufacturing, healthcare, and construction Lean principles help organizations achieve a competitive advantage by fostering higher performance Product Description Lean Software Development: An Agile Toolkit Adapting agile practices to your development organization Uncovering and eradicating waste throughout the software development lifecycle Practical techniques for every development manager, project manager, and technical leader Lean software development: applying agile principles to your organization In Lean Software Development , Mary and Tom Poppendieck identify seven fundamental ´´lean´´ principles, adapt them for the world of software development, and show how they can serve as the foundation for agile development approaches that work . Along the way, they introduce 22 ´´thinking tools´´ that can help you customize the right agile practices for any environment. Better, cheaper, faster software development. You can have all three? if you adopt the same lean principles that have already revolutionized manufacturing, logistics and product development. Iterating towards excellence: software development as an exercise in discovery Managing uncertainty: ´´decide as late as possible´´ by building change into the system. Compressing the value stream: rapid development, feedback, and improvement Empowering teams and individuals without compromising coordination Software with integrity : promoting coherence, usability, fitness, maintainability, and adaptability How to ´´see the whole´´?even when your developers are scattered across multiple locations and contractors Simply put, Lean Software Development helps you refocus development on value, flow, and people ?so you can achieve breakthrough quality, savings, speed, and business alignment. Backcover Lean Software Development: An Agile Toolkit Mary Poppendieck Tom Poppendieck Forewords by Jim Highsmithand Ken Schwaber Adapting agile practices to your development organization Uncovering and eradicating waste throughout the software development lifecycle Practical techniques for every development manager, project manager, and technical leader Lean Software Development: An Agile Toolkit Lean software development: applying agile principles to your organization In Lean Software Development , Mary and Tom Poppendieck identify seven fundamental lean principles, adapt them for the world of software development, and show how they can serve as the foundation for agile development approaches that work . Along the way, they introduce 22 thinking tools that can help you customize the right agile practices for any environment. Better, cheaper, faster software development. You can have all three- if you adopt the same lean principles that have already revolutionized manufacturing, logistics and product development. Iterating towards excellence: software development as an exercise in discovery Managing uncertainty: decide as late as possible by building change into the system. Compressing the value stream: rapid development, feedback, and improvement Empowering teams and individuals without compromising coordination Software with integrity : promoting coherence, usability, fitness, maintainability, and adaptability How to see the whole-even when your developers are scattered across multiple locations and contractors Simply put, Lean Software Development helps you refocus development on value, flow, and people -so you can achieve breakthrough quality, savings, speed, and business alignment. Foreword by Jim Highsmith. Foreword by Ken Schwaber. Preface. Introduction. 1. Eliminate Waste. The Origins of Lean Thinking. Tool 1: Seeing Waste. Partially Done Work. Extra Processes. Extra Features. Task Switching. Waiting. Motion. Defects. Management Activities. Tool 2: Value Stream Mapping. Map Your Value Stream. An Agile Value Stream Map. Try This. 2. Amplify Learning. The Nature of Software Development. Perspectives on Quality. The Service View of Quality. Quality in Software Development. Variability. Design Cycles. Do It Right the First Time? Learning Cycles. Tool 3: Feedback. Software Development Feedback Loops. Tool 4: Iterations. Iteration Planning. Team Commitment. Convergence.
Praise for Evaluating Software Architectures ´´The architecture of complex software or systems is a collection of hard decisions that are very expensive to change. Successful product development and evolution depend on making the right architectural choices. Can you afford not to identify and not to evaluate these choices? The authors of this book are experts in software architecture and its evaluation. They collected a wealth of ideas and experience in a well-organized and accessible form. If you are involved in the development of complex systems or software, you will find this book an invaluable guide for establishing and improving architecture evaluation practice in your organization.´´ - Alexander Ran , Principal Scientist of Software Architecture, Nokia ´´Software engineers must own this book. It is a well-written guide to the steps for evaluating software architecture. It argues for the inclusion of architecture evaluation and review as a standard part of the software development lifecycle. It introduces some new and innovative methods for analyzing important architecture characteristics, like extensibility, portability, and reliability. I believe these methods will become new engineering cornerstones for creating good software systems.´´ - Joe Maranzano , AT&T Bell Labs Fellow in Software Architecture (1990), and former head of the Bell Labs Software Technology Center ´´Experience and teamwork are the only approaches I know of to deliver products faster, cheaper, and yet to delight your customers. In their first book, Software Architecture in Practice , Paul and Rick (and Len Bass) helped me match my experience with theory. Their invaluable approaches and case studies changed my practice and the way I proceed to design systems and software architectures. This second book, with Mark, covers what I will look at before I feel good about an architecture. It is about how I can tap other people´s experience to produce an improved outcome, using other people´s feedback. I have used many of the concepts explained in this book for my customers´ benefit. Using this book, you-architects, developers, and managers-will develop a common language and practice to team up and deliver more successful products.´´ - Bertrand Salle , lead architect with a major telecommunications company ´´If architecture is the foundation of system construction, architectural evaluation is part of the foundation of getting to a ´good´ architecture. In this book, the authors put their considerable expertise to one of the most pressing issues in systems development today: how to evaluate an architecture prior to system construction to ascertain its feasibility and suitability to the system of interest. The book provides a practical guide to architecture evaluation using three contemporary evaluation methods. It should prove valuable to practitioners and as a basis for the evolution of architectural evaluation as an engineering practice.´´ - Rich Hilliard , Chief Technical Officer, ConsentCache, Inc., and technical editor, IEEE Recommended Practice for Architectural Description of Software-Intensive Systems ´´Too many systems have performance and other problems caused by an inappropriate architecture. Thus problems are introduced early, but are usually detected too late-when the deadline is near or, even worse, after the problem makes the headlines. Remedies lead to missed schedules, cost overruns, missed market windows, damaged customer relations, and many other difficulties. It is easy to prevent these problems by evaluating the architecture choices early, and selecting an appropriate one.´´ - Connie U. S
Each passing year bears witness to the development of ever more powerful computers, increasingly fast and cheap storage media, and even higher bandwidth data connections. This makes it easy to believe that we can now - at least in principle - solve any problem we are faced with so long as we only have enough data. Yet this is not the case. Although large databases allow us to retrieve many different single pieces of information and to compute simple aggregations, general patterns and regularities often go undetected. Furthermore, it is exactly these patterns, regularities and trends that are often most valuable. To avoid the danger of ´´drowning in information, but starving for knowledge´´ the branch of research known as data analysis has emerged, and a considerable number of methods and software tools have been developed. However, it is not these tools alone but the intelligent application of human intuition in combination with computational power, of sound background knowledge with computer-aided modeling, and of critical reflection with convenient automatic model construction, that results in successful intelligent data analysis projects. Guide to Intelligent Data Analysis provides a hands-on instructional approach to many basic data analysis techniques, and explains how these are used to solve data analysis problems. Topics and features: guides the reader through the process of data analysis, following the interdependent steps of project understanding, data understanding, data preparation, modeling, and deployment and monitoring; equips the reader with the necessary information in order to obtain hands-on experience of the topics under discussion; provides a review of the basics of classical statistics that support and justify many data analysis methods, and a glossary of statistical terms; includes numerous examples using R and KNIME, together with appendices introducing the open source software; integrates illustrations and case-study-style examples to support pedagogical exposition. This practical and systematic textbook/reference for graduate and advanced undergraduate students is also essential reading for all professionals who face data analysis problems. Moreover, it is a book to be used following one´s exploration of it. Dr. Michael R. Berthold is Nycomed-Professor of Bioinformatics and Information Mining at the University of Konstanz, Germany. Dr. Christian Borgelt is Principal Researcher at the Intelligent Data Analysis and Graphical Models Research Unit of the European Centre for Soft Computing, Spain. Dr. Frank Höppner is Professor of Information Systems at Ostfalia University of Applied Sciences, Germany. Dr. Frank Klawonn is a Professor in the Department of Computer Science and Head of the Data Analysis and Pattern Recognition Laboratory at Ostfalia University of Applied Sciences, Germany. He is also Head of the Bioinformatics and Statistics group at the Helmholtz Centre for Infection Research, Braunschweig, Germany.