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jQuery Mobile Web Development Essentials - Third Edition
by Raymond Camden Andy MatthewsBuild a powerful and practical jQuery-based framework in order to create mobile-optimized websites About This Book * Build websites with jQuery Mobile that work beautifully across a wide range of mobile devices * Become a competent jQuery Mobile developer and learn the building blocks of jQuery Mobile's component-driven design * This book covers key concepts but with a focus on providing the practical skills required Who This Book Is For This book is for any web developer who is looking to create mobile-optimized websites. Basic knowledge of HTML is required. Minor familiarity with JavaScript would help but is not required. What You Will Learn * Create mobile-optimized sites using simple HTML * Structure your sites so users can browse them on mobile devices * Find out how to work with multiple pages in the JQM framework and embed multiple pages in HTML files * Enhance simple pages using various toolbars * Include mobile-optimized forms for interactive sites * Convert desktop sites into mobile versions * Use HTML5's local storage feature in jQuery Mobile to include persistent client-side storage * Explore the rich sets of widgets and themes available and discover how to modify them for use in your jQuery Mobile site In Detail jQuery Mobile is a HTML5-based touch-optimized web framework. jQuery Mobile can be used to build responsive cross-platform websites and apps for a wide range of smartphones, tablets, and desktop devices. The jQuery Mobile framework can be integrated with other mobile app frameworks such as PhoneGap, IBM Worklight, and more. Introduction to jQuery Mobile explains how to add the framework to your HTML pages to create rich, mobile-optimized web pages with minimal effort. You'll learn how to use jQuery Mobile's automatic enhancements and configure the framework for customized, powerful mobile-friendly websites. We then dig into forms, events, and styling. You'll see how jQuery Mobile automatically enhances content, and will find out how to use the JavaScript API to build complex sites. We'll introduce you to how jQuery Mobile can be themed as well looking into how JavaScript can be used for deep sets of customizations. The examples are ready to run and can be used to help kick-start your own site. Along the way, you will leverage all the concepts you learn to build three sample mobile applications. Style and approach Through a set of easy to follow instructions, we'll show you how to use jQuery Mobile's features one easy-to-use widget at a time. You'll see examples for each feature as well as screenshots to demonstrate what they should look like on a mobile device. You can then take these example files and modify them as you learn to experiment.
JSON Quick Syntax Reference
by Wallace JacksonThis compact quick scripting syntax reference on JSON covers syntax and parameters central to JSON object definitions, using the NetBeans 8. 1 open source and Eclipse IDE software tool packages. JSON Quick Syntax Reference covers the syntax used in the JSON object definition language, logically organized by topical chapters, and getting more advanced as chapters progress, covering structures and file formats which are best for use with HTML5. Furthermore, this book includes the key factors regarding the data footprint optimization work process, the in-lining of . CSS and . JS files, and why a data footprint optimization work process is important. What you'll learn What is and how to use the Object Definition Syntax supported in JSON What comprises a JSON content production workflow What are the concepts and principles behind the JSON Object Definitions How to use JSON code snippets and apply them in your web applications How to utilize NetBeans, Android Studio and Eclipse IDEs for your JSON coding What are and how to use the key factors regarding the data footprint optimization work process, the in-lining of . CSS and . JS files And, why a data footprint optimization work process is important Who this book is for Primary: Website Developers, Android Application Developers, User Interface Designers, HTML5 OS Application Developers, HTML5 e-Learning Content Creators, HTML5 eBook Authors, HTML5 OS iTV Programmers, Android TV Programmers. Secondary: Blackberry Developers, Windows Developers, iOS Developers, Multimedia Producers, Rich Internet Application (RIA) Programmers, HTML5 Game Designers, Teachers, Educators.
Juego de Angry Birds Epic Wiki, Trucos, Armería, Descarga la Guía no Oficial
by Emmanuel Castro Joshua AbbottJuego de Angry Birds Epic Wiki, Trucos, Armería, Descarga la Guía no Oficial. Una vez que comienzas a implementar estrategias, expuestas en esta guía, tendrás muchas oportunidades de éxito. Además, te encontrarás ganando todos los niveles en los que estabas atorado y serás capaz de intentarlos vez tras vez con el truco de vidas ilimitadas. Esto no solo hará el juego mucho más interesante y disfrutable sino que también te darás cuenta del mayor nivel de logro. ¡Buena suerte!
Julia: High Performance Programming
by Malcolm Sherrington Ivo Balbaert Avik SenguptaLeverage the power of Julia to design and develop high performing programs About This Book * Get to know the best techniques to create blazingly fast programs with Julia * Stand out from the crowd by developing code that runs faster than your peers' code * Complete an extensive data science project through the entire cycle from ETL to analytics and data visualization Who This Book Is For This learning path is for data scientists and for all those who work in technical and scientific computation projects. It will be great for Julia developers who are interested in high-performance technical computing. This learning path assumes that you already have some basic working knowledge of Julia's syntax and high-level dynamic languages such as MATLAB, R, Python, or Ruby. What You Will Learn * Set up your Julia environment to achieve the highest productivity * Solve your tasks in a high-level dynamic language and use types for your data only when needed * Apply Julia to tackle problems concurrently and in a distributed environment * Get a sense of the possibilities and limitations of Julia's performance * Use Julia arrays to write high performance code * Build a data science project through the entire cycle of ETL, analytics, and data visualization * Display graphics and visualizations to carry out modeling and simulation in Julia * Develop your own packages and contribute to the Julia Community In Detail In this learning path, you will learn to use an interesting and dynamic programming language--Julia! You will get a chance to tackle your numerical and data problems with Julia. You'll begin the journey by setting up a running Julia platform before exploring its various built-in types. We'll then move on to the various functions and constructs in Julia. We'll walk through the two important collection types--arrays and matrices in Julia. You will dive into how Julia uses type information to achieve its performance goals, and how to use multiple dispatch to help the compiler emit high performance machine code. You will see how Julia's design makes code fast, and you'll see its distributed computing capabilities. By the end of this learning path, you will see how data works using simple statistics and analytics, and you'll discover its high and dynamic performance--its real strength, which makes it particularly useful in highly intensive computing tasks. This learning path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: * Getting Started with Julia by Ivo Balvaert * Julia High Performance by Avik Sengupta * Mastering Julia by Malcolm Sherrington Style and approach This hands-on manual will give you great explanations of the important concepts related to Julia programming.
Julia Cookbook
by Jalem Raj RohitOver 40 recipes to get you up and running with programming using Julia About This Book * Follow a practical approach to learn Julia programming the easy way * Get an extensive coverage of Julia's packages for statistical analysis * This recipe-based approach will help you get familiar with the key concepts in Juli Who This Book Is For This book is for data scientists and data analysts who are familiar with the basics of the Julia language. Prior experience of working with high-level languages such as MATLAB, Python, R, or Ruby is expected. What You Will Learn * Extract and handle your data with Julia * Uncover the concepts of metaprogramming in Julia * Conduct statistical analysis with StatsBase.jl and Distributions.jl * Build your data science models * Find out how to visualize your data with Gadfly * Explore big data concepts in Julia In Detail Want to handle everything that Julia can throw at you and get the most of it every day? This practical guide to programming with Julia for performing numerical computation will make you more productive and able work with data more efficiently. The book starts with the main features of Julia to help you quickly refresh your knowledge of functions, modules, and arrays. We'll also show you how to utilize the Julia language to identify, retrieve, and transform data sets so you can perform data analysis and data manipulation. Later on, you'll see how to optimize data science programs with parallel computing and memory allocation. You'll get familiar with the concepts of package development and networking to solve numerical problems using the Julia platform. This book includes recipes on identifying and classifying data science problems, data modelling, data analysis, data manipulation, meta-programming, multidimensional arrays, and parallel computing. By the end of the book, you will acquire the skills to work more effectively with your data. Style and approach This book has a recipe-based approach to help you grasp the concepts of Julia programming.
Julia for Data Science
by Anshul JoshiExplore the world of data science from scratch with Julia by your side About This Book * An in-depth exploration of Julia's growing ecosystem of packages * Work with the most powerful open-source libraries for deep learning, data wrangling, and data visualization * Learn about deep learning using Mocha.jl and give speed and high performance to data analysis on large data sets Who This Book Is For This book is aimed at data analysts and aspiring data scientists who have a basic knowledge of Julia or are completely new to it. The book also appeals to those competent in R and Python and wish to adopt Julia to improve their skills set in Data Science. It would be beneficial if the readers have a good background in statistics and computational mathematics. What You Will Learn * Apply statistical models in Julia for data-driven decisions * Understanding the process of data munging and data preparation using Julia * Explore techniques to visualize data using Julia and D3 based packages * Using Julia to create self-learning systems using cutting edge machine learning algorithms * Create supervised and unsupervised machine learning systems using Julia. Also, explore ensemble models * Build a recommendation engine in Julia * Dive into Julia's deep learning framework and build a system using Mocha.jl In Detail Julia is a fast and high performing language that's perfectly suited to data science with a mature package ecosystem and is now feature complete. It is a good tool for a data science practitioner. There was a famous post at Harvard Business Review that Data Scientist is the sexiest job of the 21st century. (https://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century). This book will help you get familiarised with Julia's rich ecosystem, which is continuously evolving, allowing you to stay on top of your game. This book contains the essentials of data science and gives a high-level overview of advanced statistics and techniques. You will dive in and will work on generating insights by performing inferential statistics, and will reveal hidden patterns and trends using data mining. This has the practical coverage of statistics and machine learning. You will develop knowledge to build statistical models and machine learning systems in Julia with attractive visualizations. You will then delve into the world of Deep learning in Julia and will understand the framework, Mocha.jl with which you can create artificial neural networks and implement deep learning. This book addresses the challenges of real-world data science problems, including data cleaning, data preparation, inferential statistics, statistical modeling, building high-performance machine learning systems and creating effective visualizations using Julia. Style and approach This practical and easy-to-follow yet comprehensive guide will get you learning about Julia with respect to data science. Each topic is explained thoroughly and placed in context. For the more inquisitive, we dive deeper into the language and its use case. This is the one true guide to working with Julia in data science.
Julia High performance
by Avik SenguptaThis book is for intermediate level Julia users/developers who are interested in high performance technical computing. You must have a basic knowledge of scientific and technical computing with Julia.
Jump Start Sketch: Master the Tool Made for UI Designers
by Daniel SchwarzGet a Jump Start on the up and coming power tool on the design scene, Sketch! Sketch is fast becoming a favorite tool of modern web designers. With a simple, clean UI, and a raft of powerful features, such as intuitive grids, unlimited artboards, and granular export, Sketch is a great tool for web design; it's easy to see why so many top designers are adding it to their toolbox. This book provides a rapid and practical introduction to using Sketch for web design. If you're currently a Photoshop user, you'll quickly understand how Sketch can supercharge your design process. See how Sketch compares to Photoshop, and when to use one over the otherGet to grips with Sketch's UIUse Sketch's built-in layout gridAdd plugins to Sketch to boost functionalityExport your designs into ready-to-use HTML and CSSAnd much more!
Jumpstart Tableau
by Arshad KhanThis book simplifies the use of Tableau software functionality for novice users so that they can create powerful data visualizations easily and quickly. Since it is often very difficult and expensive to provide external training on BI tools, this book aims to equip the reader with the resource they need to do it themselves. Jumpstart Tableau covers the basic reporting and analysis functions that most BI users perform in their day-to-day work. These include connecting to a data source, working with dimensions and measures, developing reports and charts, saving workbooks, filtering, swapping, sorting, formatting, grouping, creating hierarchies, forecasting, exporting, distributing, as well developing various chart types. Each exercise in Jumpstart Tableau provides screenshots that cover every step from start to finish. The exercises are based on a comprehensive sample Excel-based data source that Tableau Software (version 9) has provided, which makes it very easy to duplicate the exercises on the real software. In addition, the book: Enables readers to develop reports, queries and visualizations Perform data analysis Execute each function in a step-by-step manner Provides the basic hands-on ability which can enable users to work up to more advanced and complex Tableau functionality Shows how to integrate individual development of content, such as tables/charts and visualizations. , onto a dashboard for an effective presentation What You'll Learn How to connect to data sources How to develop reports How to develop visualizations How to perform analysis functions (e. g. , filtering, drilldown, sorting, grouping, forecasting, etc. ) How to save visualizations in different formats and distribute them How to develop dashboards and their content Who this book is for Novice Tableau users, BI end users, as well as developers and business analysts. Also, students in university courses on dashboards and data visualization as well as BI and data analysis can quickly get up to speed with Tableau tools and use them for implementing the hands-on projects associated with these courses.
Juniper MX Series: A Comprehensive Guide to Trio Technologies on the MX
by David Roy Harry Reynolds Douglas Richard Hanks Jr.Discover why routers in the Juniper MX Series--with their advanced feature sets and record-breaking scale--are so popular among enterprises and network service providers. This revised and expanded edition shows you step-by-step how to implement high-density, high-speed Layer 2 and Layer 3 Ethernet services, using Router Engine DDoS Protection, Multi-chassis LAG, Inline NAT, IPFLOW, and many other Juniper MX features.This second edition was written by a Senior NOC engineer, whose vast experience with the MX Series is well documented. Each chapter covers a specific Juniper MX vertical and includes review questions to help you test what you've learned. This edition includes new chapters on load balancing and vMX--Juniper MX's virtual instance.Work with Juniper MX's bridging, VLAN mapping, and support for thousands of virtual switchesExamine Juniper MX high-availability features and protocolsUse Trio Chipset's load balancing features for different types of trafficExplore the benefits and typical use cases of vMXAdd an extra layer of security with Junos DDoS protectionCreate a firewall filter framework that applies filters specific to your networkDiscover the advantages of hierarchical schedulingCombine Juniper MX routers, using a virtual chassis or Multi-chassis LAGInstall network services such as Network Address Translation (NAT)
Juniper QFX10000 Series: A Comprehensive Guide to Building Next-Generation Data Centers
by HanksLike the popular guides The MX Series and Juniper QFX5100 Series, this practical book--written by the same author--introduces new QFX10000 concepts in switching and virtualization, specifically in the core of the data center network.The rise of cloud computing with service providers and the need to create private clouds for enterprise, government agencies, and research institutions of all shapes and sizes is creating a high demand for high-density 40GbE and 100GbE in the core of the data center network.The Juniper QFX10000 Series was introduced by Juniper Networks to solve these challenges, and it is a game-changer. This new book by Douglas Hanks is the authoritative guide.Topics include:Device ArchitectureFlexible Deployment ScenariosPerformance and ScalingDisaggregation of Software and HardwareData Center APINext Generation QFabricNetwork-Based Overlay FabricNetwork Analytics
Just Ordinary Robots: Automation from Love to War
by Lamber Royakkers Rinie van EstA social robot is a robot that interacts and communicates with humans or other autonomous physical agents by following social behaviors and rules attached to its role. We seem to accept the use of robots that perform dull, dirty, and dangerous jobs. But how far do we want to go with the automation of care for children and the elderly, or the killin
Kali Linux: Windows Penetration Testing
by Wolf Halton Bo WeaverIf you are a working ethical hacker who is looking to expand the offensive skillset with a thorough understanding of Kali Linux, then this is the book for you. Prior knowledge about Linux operating systems and the BASH terminal emulator along with Windows desktop and command line would be highly beneficial.
Kali Linux 2 – Assuring Security by Penetration Testing - Third Edition
by Shakeel Ali Tedi Heriyanto Lee Allen Gerard JohansenAchieve the gold standard in penetration testing with Kali using this masterpiece, now in its third edition! About This Book * Get a rock-solid insight into penetration testing techniques and test your corporate network against threats like never before * Formulate your pentesting strategies by relying on the most up-to-date and feature-rich Kali version in town--Kali Linux 2 (aka Sana). * Experience this journey with new cutting-edge wireless penetration tools and a variety of new features to make your pentesting experience smoother Who This Book Is For If you are an IT security professional or a student with basic knowledge of Unix/Linux operating systems, including an awareness of information security factors, and you want to use Kali Linux for penetration testing, this book is for you. What You Will Learn * Find out to download and install your own copy of Kali Linux * Properly scope and conduct the initial stages of a penetration test * Conduct reconnaissance and enumeration of target networks * Exploit and gain a foothold on a target system or network * Obtain and crack passwords * Use the Kali Linux NetHunter install to conduct wireless penetration testing * Create proper penetration testing reports In Detail Kali Linux is a comprehensive penetration testing platform with advanced tools to identify, detect, and exploit the vulnerabilities uncovered in the target network environment. With Kali Linux, you can apply appropriate testing methodology with defined business objectives and a scheduled test plan, resulting in a successful penetration testing project engagement. Kali Linux - Assuring Security by Penetration Testing is a fully focused, structured book providing guidance on developing practical penetration testing skills by demonstrating cutting-edge hacker tools and techniques with a coherent, step-by-step approach. This book offers you all of the essential lab preparation and testing procedures that reflect real-world attack scenarios from a business perspective, in today's digital age. Style and approach This practical guide will showcase penetration testing through cutting-edge tools and techniques using a coherent, step-by-step approach.
Kali Linux Web Penetration Testing Cookbook
by Gilberto Najera-GutierrezThis book is for IT professionals, web developers, security enthusiasts, and security professionals who want an accessible reference on how to find, exploit, and prevent security vulnerabilities in web applications. You should know the basics of operating a Linux environment and have some exposure to security technologies and tools.
Kanippori Iyal (Computer Science) Thoguthi- 1 Karuvikal (Tools) 12th Standard - Tamilnadu Board
by State Council of Educational Research TrainingKanippori Iyal (Computer Science) Textbook Thoguthi- 1 Karuvikal (Tools) for the 12th Standard Students, preparing for Tamil Nadu State Board Exam.
Kanippori Iyal (Computer Science) Thoguthi- 2 Porul Nokku Thozhil Nutpam (Objects Technology) 12th Standard - Tamilnadu Board
by State Council of Educational Research TrainingKanippori Iyal (Computer Science) Textbook Thoguthi- 2 Porul Nokku Thozhil Nutpam (Objects Technology) for the 12th Standard Students, preparing for Tamil Nadu State Board Exam.
Kanippori Iyal Thoguthi - I Karuththukkal (Concepts) 11th Standard - Tamilnadu Board
by State Council of Educational Research TrainingKanippori Iyal Textbook Thoguthi - I Karuththukkal (Concepts) for the 11th Standard Students, preparing for Tamil Nadu State Board Exam.
Kanippori Iyal Thoguthi -II Seimurai (Practice) 11th Standard - Tamilnadu Board
by State Council of Educational Research TrainingKanippori Iyal Textbook Thoguthi -II Seimurai (Practice) for the 11th Standard Students, preparing for Tamil Nadu State Board Exam.
KI 2016: Advances in Artificial Intelligence
by Gerhard Friedrich Malte Helmert Franz WotawaThis book constitutes the refereed proceedings of the 39th Annual German Conference on Artificial Intelligence, KI 2016, in conjunction with the Osterreichische Gesellschaft fur Artificial Intelligence, OGAI, held in Klagenfurt, Austria, in September 2016. The 8 revised full technical papers presented together with 12 technical communications, and 16 extended abstracts were carefully reviewed and selected from 44 submissions. The conference provides the opportunity to present a wider range of results and ideas that are of interest to the KI audience, including reports about recent own publications, position papers, and previews of ongoing work. "
Knowledge and Discourse Matters
by Lesley CraneThis book provides a practical approach to harnessing knowledge in organizations. Its focus is on knowledge sharing, tacit knowing, and a view of knowledge as an accomplishment in social interaction. The aim of this book is to explore and show how the phenomena of trust, risk and identity, as contexts constructed by speakers themselves, influence and mediate knowledge sharing in organizational encounters. The research particularly reveals how tacit knowledge (knowing), affects the scope and directions of everyday conversation. The first part of the book presents a comprehensive critical appraisal and analysis of the field of organizational knowledge management, followed by an introduction to the theory and methodology of discourse analysis, and a view of tacit knowing drawn from studies in implicit learning. The second part reports the detailed analysis and findings of original field research, investigating how participants in regular organizational meetings, including a discussion forum, manage the business of sharing knowledge. From the perspective of the research methodology, drawing on Discursive Psychology, knowledge is approached as an accomplishment in social interaction, with talk and text shown to be constructive, functional and action-oriented. Presents a rigorous, evidence-based approach to Knowledge Management using original research Approaches discourse as the location of knowledge work, and the site to which knowledge management practice should be focused Positions the actions of knowledge work in everyday talk and text, thus giving practitioners a ready toolset to improve their strategies, practices and understanding of knowledge within organizations Knowledge and Discourse Matters: Relocating Knowledge Management's Sphere of Interest onto Language is a great reference for organizational leaders, knowledge managers, and human resource managers. Dr. Lesley Crane is an independent consultant specializing in knowledge management, and technology supported learning for adults (e-learning). Much of her consultancy work involves providing strategic advice and research on the effective use of e-content, e-tools and the use of new technologies in the delivery of teaching and learning. Prior to working as a consultant, Lesley was Managing Director of her own SME business specializing in creative e-learning design and development for public and private sector organizations.
Knowledge and Systems Sciences
by Jian Chen Yoshiteru Nakamori Wuyi Yue Xijin TangThis book constitutes the refereed proceedings of the 17th International Symposium, KSS 2016, held in Kobe, Japan, in November 2016. The 21 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers cover topics such as: Algorithms for Big Data; Big Data and education; Big Data and healthcare; Big Data and tourism; Big Data and social media oriented knowledge discovery and data mining, text mining, recommendation system, etc; Big Data, social media and societal management; creation of agent-based social systems sciences; collective intelligence; complex system modeling and complexity; decision analysis and decision support systems; internet+ and agriculture; internet+ and open innovation; knowledge creation, creativity support, awareness support, etc. ; knowledge systems engineering and knowledge management; meta-synthesis and advanced modeling; opinion dynamics and opinion mining; OR on knowledge and systems sciences; problem structuring methods and system methodologies toward wicked problems; service systems science; smart city; social dynamic network modeling; Web intelligence.
Knowledge and Systems Sciences: 17th International Symposium, KSS 2016, Kobe, Japan, November 4-6, 2016, Proceedings (Communications in Computer and Information Science #660)
by Jian Chen, Yoshiteru Nakamori, Wuyi Yue and Xijin TangThis book constitutes the refereed proceedings of the 17th International Symposium, KSS 2016, held in Kobe, Japan, in November 2016.The 21 revised full papers presented were carefully reviewed and selected from 48 submissions. The papers cover topics such as: Algorithms for Big Data; Big Data and education; Big Data and healthcare; Big Data and tourism; Big Data and social media oriented knowledge discovery and data mining, text mining, recommendation system, etc; Big Data, social media and societal management; creation of agent-based social systems sciences; collective intelligence; complex system modeling and complexity; decision analysis and decision support systems; internet+ and agriculture; internet+ and open innovation; knowledge creation, creativity support, awareness support, etc.; knowledge systems engineering and knowledge management; meta-synthesis and advanced modeling; opinion dynamics and opinion mining; OR on knowledge and systems sciences; problem structuring methods and system methodologies toward wicked problems; service systems science; smart city; social dynamic network modeling; Web intelligence.
Knowledge Engineering and Knowledge Management
by Eva Blomqvist Paolo Ciancarini Francesco Poggi Fabio VitaliThis book constitutes the refereed proceedings of the 20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016, held in Bologna, Italy, in November 2016. The 51 full papers presented were carefully reviewed and selected from 171 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing, intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on "evolving knowledge", i. e. , the impact of space and time on knowledge representation, concerning all aspects of the management and acquisition of knowledge representation of evolving, contextual, and local models.
Knowledge Engineering and Knowledge Management: 20th International Conference, EKAW 2016, Bologna, Italy, November 19-23, 2016, Proceedings (Lecture Notes in Computer Science #10024)
by Eva Blomqvist, Paolo Ciancarini, Francesco Poggi and Fabio VitaliThis book constitutes the refereed proceedings of the 20th InternationalConference on Knowledge Engineering and Knowledge Management, EKAW 2016,held in Bologna, Italy, in November 2016.The 51 full papers presented were carefully reviewed and selected from 171 submissions. The papers cover all aspects of eliciting, acquiring, modeling, and managing knowledge, the construction of knowledge-intensive systems and services for the Semantic Web, knowledge management, e-business, natural language processing,intelligent information integration, personal digital assistance systems, and a variety of other related topics. A special focus was on "evolving knowledge", i.e., the impact of space and time on knowledge representation, concerning all aspects of the management and acquisition of knowledge representation of evolving, contextual, and local models.