In October 2012, Canoo and the German publishing house Mittelrhein-Verlag Mittelrhein-Verlag (Koblenz) established a strategic partnership. The publisher integrated our Search & Analysis Suite Canoo Find-it into their proprietary mobile editorial system red.web, as a seamlessly integrated plugin. With this plugin, red.web offers its customers a range of additional functions which support editors to find articles more efficiently, to filter incoming agency reports, to subscribe to specific topics and so forth. These functions quickly attracted significant interest from customers. Yesterday, this productive collaboration moved one step further, as the publisher is going to use Find-it for their own large regional newspaper Rhein-Zeitung. “Our intention with this software is firstly to support our editors in their everyday work and secondly to provide our readers with plenty of benefits too”, said Siegmund Radtke, publishing director of Mittelrhein-Verlag. Detailed information on this topic can be found in the official press release from red.web.
- Some new Swing APIs from Java 7
- Use of JLayer in place of JxLayer
- Integration of JavaFX WebView in the new package ULC FxBrowser
- Improvements to EasyDeployment to enable multiple ULC apps in a single web application
- Installer-free installation process – simply unzip and install license
- Many bug fixes and improvements
On July 30, we released Canoo Find-it 2.1.
It is a major leap both in quality and functionality. Some of the improvements and new features are:
- drastically improved the recognition rate and precision for the disambiguation of keywords
- increased performance
- added a new keyword category “Brands and Products”
- relevance score is now consistent for all keyword types
- keywords are presented in two forms: the unique and complete term vs. the most commonly used term
- suggest service for existing keywords: this is useful for automated search completions (so-called “auto-suggest”) in search frontends
- cross-language searches: searching for a German term will now also find matching documents in other languages