eBook Mashup Case Studies with Yahoo! Pipes download
by Tony Loton

Author: Tony Loton
Publisher: Lotontech Limited (January 7, 2009)
Language: English
Pages: 126
ePub: 1508 kb
Fb2: 1640 kb
Rating: 4.2
Other formats: lrf mbr lrf mobi
Category: Technologies
The example solutions demonstrate not-so-obvious Yahoo!
This book is all about developing web content mashups using the popular Yahoo Pipes web-based development environment
This book is all about developing web content mashups using the popular Yahoo Pipes web-based development environment. The example solutions demonstrate not-so-obvious Yahoo Pipes features and techniques including.
Yahoo! Pipes is a powerful composition tool to aggregate, manipulate, and mashup content from around the web. In this book you will learn how to: Create Pipes by selecting modules from the library.
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10/29/09-03:17: Mashup Case Studies With Yahoo! Pipes. Contact us about this article. Publisher:CreateSpace Independent Publishing Platform. Publication Date:2008-11-18.
Pipes runs a Mashup at an external site. Intel Mash Maker can take data elements from multiple. Mashup Case Studies With Yahoo! Pipes. CreateSpace, November 2008. Mash Maker is a browser extension that learns what. information a user is interested in and automatically cre-. ates personalized mashups with content and visualizations. A. Voulodimos and C. Patrikakis.
Pipes and YQL. Mashup. Modules to process user input. Even has a regex operator . Everything Visual! " Has everything you need for feed processing pipes.
Сайт позволяет пользователям получать потоки информации из разных источников и создавать правила по управлению полученным контентом. Типичный пример - New York Times thru Flickr, - поток забирает RSS-ленту New York Times и на основании ключевых слов каждой заметки добавляет фото с сервера Flickr. Сайт находится в состоянии beta-тестирования.
Yahoo! recently released a new Fetch Page module which dramatically increases the number of useful things that Pipes can do. With this new "pipe input" module we're no longer restricted to working with well-organised data sets in supported formats such as CSV, RSS, Atom, XM. . With this new "pipe input" module we're no longer restricted to working with well-organised data sets in supported formats such as CSV, RSS, Atom, XML, JSON, iCal or KML. Now we can grab any HTML page we like and use the power of the Regex module to slice and dice the raw text into shape. In a nutshell, the Fetch Page module turns Yahoo!
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