"This unique book is geared to help any library keep its website dynamically and collaboratively up-to-date, increase user participation, and provide exemplary web-based service through the power of mashups."--Back cover.

Mashups are hugely popular right now, a very important topic within the general area of Web 2.0, involving technologies such as CSS, JavaScript, Ajax, APIs, libraries, and server-side languages (such as PHP and ASP.NET.) This book aims to be the definitive tome on Mashup development, to stand in the middle of all the other, more API specific books coming out on Google Maps, Flickr, etc. The book shows how to create real world Mashups using all the most poplar APIs, such as Google Maps, Flickr, Amazon Web Services, and delicious, and includes examples in multiple different server-side languages, such as PHP, Java, and .NET.

Mashups have emerged as an innovative software trend that re-interprets existing Web building blocks and leverages the composition of individual components in novel, value-adding ways. Additional appeal also derives from their potential to turn non-programmers into developers. Daniel and Matera have written the first comprehensive reference work for mashups. They systematically cover the main concepts and techniques underlying mashup design and development, the synergies among the models involved at different levels of abstraction and the way models materialize into composition paradigms and architectures of corresponding development tools. The book deliberately takes a balanced approach, combining a scientific perspective on the topic with an in-depth view on relevant technologies. To this end, the first part of the book introduces the theoretical and technological foundations for designing and developing mashups, as well as for designing tools that can aid mashup development. The second part then focuses more specifically on various aspects of mashups. It discusses a set of core component technologies, core approaches and architectural patterns, with a particular emphasis on tool-aided mashup development exploiting model-driven architectures. Development processes for mashups are also discussed and special attention is paid to composition paradigms for the end-user development of mashups and quality issues. Overall, the book is of interest to a wide range of readers. Students, lecturers, and researchers will find a comprehensive overview of core concepts and technological foundations for mashup implementation and composition. Even without low-level coding details, practitioners like software architects will find guidance on key implementation concepts, architectural patterns and development tools and approaches. A related website provides additional teaching material which can be used either as part of a course or for self study.

Creating Enterprise-Quality Web 2.0 Mashups: The Complete How-To Guide Mashups give businesses powerful new ways to leverage today’s massive public and private data resources for competitive advantage. In Mashups: Strategies for the Modern Enterprise, J. Jeffrey Hanson brings together all the knowledge enterprise developers need to create mashups that are reliable, secure, flexible, and effective. Using detailed sample code and third-party tools, Hanson walks readers through every step of creating a working enterprise mashup, as well as every component: presentation, process, data, and infrastructure. He surveys the styles, technologies, and standards used in mashup development, identifying key trade-offs and helping you choose the best options for your environment. You’ll learn how to overcome technical and business concerns associated with mashups, apply proven mashup patterns, and much more. Coverage includes Understanding and using presentation-oriented, data-oriented, process-oriented, or hybrid mashup styles Identifying the optimal uses for mashups in your environment Up-front planning: requirements, constraints, and security considerations; stability, reliability, and performance issues Creating an enterprise mashup, step by step: design, identification of services and data sources, and more Creating effective frameworks for mashup mediation and monitoring Applying proven patterns to your enterprise mashup infrastructure Securing mashups: validation, HTML sanitization, protecting iframes, and avoiding common attacks, such as cross-site request forgery Building mashups with third-party tools for Google, Oracle, Salesforce.com, Amazon, and other environments Developing an open, agile environment that supports rapid, flexible development of new mashups Also of interest: The companion book, Mashup Patterns: Designs and Examples for the Modern Enterprise by Mike Ogrinz (Addison-Wesley), is an indispensable guide to patterns, with insights for making mashups work in production environments.

Mashups are mostly lightweight Web applications that offer new functionalities by combining, aggregating and transforming resources and services available on the Web. Popular examples include a map in their main offer, for instance for real estate, hotel recommendations, or navigation tools. Mashups may contain and mix client-side and server-side activity. Obviously, understanding the incoming resources (services, statistical figures, text, videos, etc.) is a precondition for optimally combining them, so that there is always some undercover semantics being used. By using semantic annotations, neutral mashups permute into the branded type of semantic mashups. Further and deeper semantic processing such as reasoning is the next step. The chapters of this book reflect the diversity of real-life semantic mashups. Two overview chapters take the reader to the environments where mashups are at home and review the regulations (standards, guidelines etc.) mashups are based on and confronted with. Chapters focusing on DBpedia, search engines and the Web of Things inspect the main Web surroundings of mashups. While mashups upgrading search queries may be nearer to the everyday experience of readers, mashups using DBpedia input and sensor data from the real world lead to important new and therefore less known developments. Finally, the diversity of mashups is tracked through a few application areas: mathematical knowledge, speech, crisis and disaster management, recommendations (for games), inner-city information, and tourism. Participants of the AI Mashup Challenge wrote all the chapters of this book. The authors were writing for their current and future colleagues – researchers and developers all over the Web who integrate mashup functionalities into their thinking and possibly into their applications.

How do you use R to import, manage, visualize, and analyze real-world data? With this short, hands-on tutorial, you learn how to collect online data, massage it into a reasonable form, and work with it using R facilities to interact with web servers, parse HTML and XML, and more. Rather than use canned sample data, you'll plot and analyze current home foreclosure auctions in Philadelphia. This practical mashup exercise shows you how to access spatial data in several formats locally and over the Web to produce a map of home foreclosures. It's an excellent way to explore how the R environment works with R packages and performs statistical analysis. Parse messy data from public foreclosure auction postings Plot the data using R's PBSmapping package Import US Census data to add context to foreclosure data Use R's lattice and latticeExtra packages for data visualization Create multidimensional correlation graphs with the pairs() scatterplot matrix package

del.icio.us offers millions of Web users an online social network in which to collect, organize, and share their favorite web resources. Using an underlayer of tools offered by del.icio.us, you now have the potential to tap into this social network in order to expand your own website to a whole new array of possibilities. This book will help you make the most of these possibilities and encourages you to use your own innovative ideas to create something useful, unique, and even fun.