* Lays out the foundations of Web services technology: XML, SOAP and WSDL * Presents Web service interfaces to Google, Amazon, and others * Describes, with many examples, how to create Web service clients in cross-browser Javascript, Java (including JSP) and .NET * Shows how to build Web services which combine the results from existing services with your own programs and database usage; Shows how RSS and other XML data can supplement web services

* How to create dynamic web pages with ASP.NET web forms and web server controls * How to display and manipulate data using ADO.NET and Visual Studio .NET components * How to persist state in different ways, within the "stateless" web environment * How to create XML files and XML schema, and how to use them for data transfer * How to integrate your web applications with others, through web services * How to make your application more secure, via the security features in ASP.NET and IIS * How to eliminate bugs and unexpected failures, through effective debugging and exception-handling techniques * How to improve the performance of your application and prepare it for release NOTE: There is an Apress title called Programming the Web with Visual Basic .NET (Torkelson, Peterson, Torkelson) but this title is aimed at a higher-level audience and is more of a ‘transition’ book than an inspirational skills improvement book.

The advancements in intelligent decision-making techniques have elevated the efficiency of manufacturing industries and led to the start of the Industry 4.0 era. Industry 4.0 is revolutionizing the way companies manufacture, improve, and distribute their products. Manufacturers are integrating new technologies, including the Internet of Things (IoT), cloud computing and analytics, and artificial intelligence and machine learning, into their production facilities throughout their operations. In the past few years, intelligent analytics has emerged as a solution that examines both historical and real-time data to uncover performance insights. Because the amount of data that needs analysis is growing daily, advanced technologies are necessary to collect, arrange, and analyze incoming data. This approach enables businesses to detect valuable connections and trends and make decisions that boost overall performance. In Industry 4.0, intelligent analytics has a broader scope in terms of descriptive, predictive, and prescriptive subdomains. To this end, the book will aim to review and highlight the challenges faced by intelligent analytics in Industry 4.0 and present the recent developments done to address those challenges.

This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.

The emergence of Web 2.0 is provoking challenging questions for developers: What products and services can our company provide to customers and employees using Rich Internet Applications, mash-ups, Web feeds or Ajax? Which business models are appropriate and how do we implement them? What are best practices and how do we apply them? If you need answers to these and related questions, you need Unleashing Web 2.0—a comprehensive and reliable resource that guides you into the emerging and unstructured landscape that is Web 2.0. Gottfried Vossen is a professor of Information Systems and Computer Science at the University of Muenster in Germany. He is the European Editor-in-Chief of Elsevier's Information Systems—An International Journal. Stephan Hagemann is a PhD. Student in Gottfried's research group focused on Web technologies. - Presents a complete view of Web 2.0 including services and technologies - Discusses potential new products and services and the technology and programming ability needed to realize them - Offers 'how to' basics presenting development frameworks and best practices - Compares and contrasts Web 2.0 with the Semantic Web

The first comprehensive encyclopedia for the growing fields of media and communication studies, the Encyclopedia of Media and Communication is an essential resource for beginners and seasoned academics alike. Contributions from over fifty experts and practitioners provide an accessible introduction to these disciplines' most important concepts, figures, and schools of thought – from Jean Baudrillard to Tim Berners Lee, and podcasting to Peircean semiotics. Detailed and up-to-date, the Encyclopedia of Media and Communication synthesizes a wide array of works and perspectives on the making of meaning. The appendix includes timelines covering the whole historical record for each medium, from either antiquity or their inception to the present day. Each entry also features a bibliography linking readers to relevant resources for further reading. The most coherent treatment yet of these fields, the Encyclopedia of Media and Communication promises to be the standard reference text for the next generation of media and communication students and scholars.

Society is now completely driven by data with many industries relying on data to conduct business or basic functions within the organization. With the efficiencies that big data bring to all institutions, data is continuously being collected and analyzed. However, data sets may be too complex for traditional data-processing, and therefore, different strategies must evolve to solve the issue. The field of big data works as a valuable tool for many different industries. The Research Anthology on Big Data Analytics, Architectures, and Applications is a complete reference source on big data analytics that offers the latest, innovative architectures and frameworks and explores a variety of applications within various industries. Offering an international perspective, the applications discussed within this anthology feature global representation. Covering topics such as advertising curricula, driven supply chain, and smart cities, this research anthology is ideal for data scientists, data analysts, computer engineers, software engineers, technologists, government officials, managers, CEOs, professors, graduate students, researchers, and academicians.