Q-Sensei unveils API framework for its multi-dimensional search and indexing technology

First phase of API – FeedBooster API 1.0 – tackles webfeeds and RSS content

Rockledge, FL, November 30, 2011 – Q-Sensei, the award-winning next-generation search technology company, today unveiled the first of its application programming interfaces (API) to embed its multi-dimensional search technology in any website, web service or application. The first phase of the API set, FeedBooster API 1.0, tackles the flood of webfeeds and RSS data.

Search technologies until now have produced endless flat lists of search results that require time and patience to pore over. Q-Sensei’s new search technology – called multi-dimensional search -- slices and dices the results and presents them in a dynamic, organized index sorted along multiple ‘dimensions’ (date, tag, source, author, language or other attributes) to guide users through the deluge of information.

FeedBooster API 1.0 addresses the deluge of news and empowers end-users to search and cull the most relevant news and information from RSS webfeeds. Developers can embed Q-Sensei's webfeed harvesting, search and indexing engine to enhance or complement a site with additional, searchable and empowering content for the end-user. A blog, for example, can add complementing webfeeds; a business portal can provide third-party news that validates their mission.

“Our vision is to make multi-dimensional search prevalent and open to all, especially as businesses and end-users demand better structure, organization and searchability for the increasing amounts of data,” said Ute Rother, CEO of Q-Sensei. “Our unique search technology can enhance websites, services and applications to bring the most relevant information quickly and dynamically for a better data-consuming experience. We hope that developers will take advantage of this API to improve information access and findability for any and all data-intensive application or service.”

The FeedBooster API 1.0 is RESTful and returns data in JSON format to enable easy configuration and customization within an existing site, service or application. Additional Q-Sensei multi-dimensional search-based APIs and developer tools – including widgets and plug-ins – will be available in 2012. More information on the API can be found at: http://www.qsensei.com/developer/api.

Editors Note:
FeedBooster, currently a web-based service (tablet apps to arrive in early 2012), provides a search-powered feed reader to track, search and keep tabs on unlimited news webfeeds and business/industry RSS news. To view the news processing power and multi-dimensional search behind FeedBooster, please visit http://feeds.qsensei.com.

About Q-Sensei
Q-Sensei is a new and powerful approach to search navigation which addresses the increasing volumes of structured and unstructured information on the Internet, in businesses networks (Intranets), on private computers, personal databases and hand-held devices. With Q-Sensei, users can quickly find – and discover – the relevant “needles” in the endless “haystacks” of data through its powerful multi-dimensional searching and indexing engine. Q-Sensei Corp. was formed in 2007 as a Delaware corporation out of a merger of the German-based social knowledge network Lalisio and the American search specialist QUASM. Q-Sensei was recognized by IDC as an “Innovative Business Analytics Company to Watch under $100M in 2011” (Doc # 230923) and received the “2011 North American Enterprise Search New Product Innovation Award” from Frost & Sullivan. Q-Sensei's Search and Presentation Engine is protected by U.S. Patents 7,080,059 and 7,680,777. More information can be found at www.qsensei.com.

Catherine Colton
Q-Sensei Corp.
2982 Bellwind Circle
Rockledge, FL 32955
USA

Mail: press@qsensei.com

This release was published on openPR.