Dipsie, a technology company focused on improving how people find and use information on the Internet via search, has announced the Beta launch of dCloak.

The dCloak Beta is an automated self-service offering for digital ad professionals, SEO consultants and web site managers that leverages Dipsie's patent-pending technology, to reveal content that is currently "invisible" to major search engines such as Google, Yahoo! and MSN. Once visible, dCloak Beta users can take advantage of optimization and semantic analysis techniques, so that these pages will perform better in natural search engine results, making it easier for consumer search users to find more relevant content.

dCloak is Dipsie's first commercialized product, focused on improving search engine technologies as a whole. It's dedicated to making information available for search engine users, regardless of where they want to search, and identifying what words mean and what they can actually do in the context of natural language.

Jason Wiener, CEO and founder, Dipsie, said, "Today, search engines cannot crawl sites that use cookies, database-driven page templates, forms and client-side scripts. Even if a search engine can see a page during its crawl, it's very difficult for that engine to return users to that page from the search results page. As a result, users are commonly sent to broken pages, or to the home page, where they must find their own way to the originally crawled content. dCloak solves this critical issue."

Dipsie maintains that the problem dCloak solves is two-fold. While some search engines have the ability to successfully crawl some "deep web" content once, they almost never have the ability to return their users to the page as it was originally crawled. They can't refresh cookies needed to bring their users a number of clicks into a web site's architecture. They can't attach live session states to the url as their users click the results page and immediately get to the dynamically generated page on the desired site. They can't attach form information so a user's request can be understood by a web server and the corresponding page delivered. They instead break or don't even bother including these pages in their indexes.

Over the past three years, Dipsie has developed a host of patent-pending technologies, including the Dipsie.bot and algorithms based upon Quantum Linguistics to specifically address these challenges. Dipsie maintains that its technologies enable the company's products, to crawl a larger portion of the web as well as analyze and interpret language in a more human-like manner, to derive greater meaning than from just the actual text on a page.

Based upon Quantum Linguistics, Dipsie's algorithms identify the utility of words and how they interact with, influence and are influenced by one another. As a result, it can predict the semantics of words and phrases within content and also recommend alternative content in addition to what the page actually displays in its text. For example, a search query on the phrase "public relations" might produce a small set of results missing relevant content, even though other pages have information about publicity and promotion and relate to public relations directly.

Sites that use the dCloak Beta can now appear as long as the content they've published through dCloak is contextually and semantically consistent with the original text. This, says Dipsie, gives sites a greater visible footprint on the web, and at the same time, allows end-users to find more relevant content.

                                Earthlink Netscape Netvouz RawSugar Shadows Sphinn StumbleUpon Yahoo MyWeb