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http://www.macnn.com/articles/06/05/24/q.phrases.cq.web.in.beta/

CQ web aims to improve Web search

updated 02:05 am EDT, Wed May 24, 2006

 

Q-Phrase\'s CQ web in beta


Q-Phrase has announced the beta release of CQ web, a web search application that allows users to search the internet in a new way, identifying relationships among keywords and content discovered within the actual pages behind relevant search engine results. CQ web works in conjunction with major search engines such as Google and MSN, automatically visiting their most relevant search results to discover significant keywords and topics relating top the original search query. By compiling all this data into an indexed format, CQ web allows users to quickly explore the relevancy, relationships, and sources of information related to their topic of interest. According to the company, the search interface in CQ web circumvents the "hit or miss" nature and trial-and-error link clicking associated with traditional search engine results that are often limited to simple snippets when describing page content.

"CQ web was designed to answer the need for more content-specific, advanced Internet search. Search engines are hugely popular, but they create a lot of clutter for the user. CQ web sifts through all that clutter to discover the relevant and meaningful information buried in those pages of search results – information you would most likely never see. We believe CQ web will make web search more efficient than ever," said Andy Miller, President of Q-Phrase.

CQ web is available now for Mac OS X 10.3 or later. This beta release also includes support for searching content from sites such as Wikipedia, del.icio.us, and MySpace--all part of CQ web's Web 2.0 integration, which will be fully implemented in the 1.0 release, acording to Q-Phrase. It is free software, while its ConceptQ ($30) helps analyze search results and indentify most significant keywords within a document and ConceptQ Pro ($80) can automatically read/highlight documents and build (comparitive) indexes of websites.


by MacNN Staff

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