New startup Linkify has announced the general availability of its SDK which provides developers the ability to recognize, extract and convert “things of interest” to a user and connect them with relevant information from the web as opposed to submitting a traditional word-based query via a search engine.





The company coined a term for this service - “Semantic AR” (augmented reality). The process advances semantic search by detecting keywords based around a user’s intent or level of likely interest. Applying its artificial intelligence-based, machine-learning engine, Linkify is able to recognize the meaning of notable keywords or “interesting things,” specifically around “people, places or things,” and then automatically converts them into hyperlinks.





Users tap on hyperlinks that are presented on a page of content and a small information widget appears, offering the user services such as Wikipedia, Google Images, Twitter, Flickr, YouTube, etc., which they can open to obtain supplemental information on the item of interest. Once the widget is closed, the user can resume reading the original content without experiencing any disruption. Linkify eliminates the need to redirect users to another site, or require them to open up additional tabs, or launch another app in order to obtain their search result.





Linkify’s server-side system is fast, scalable, and lightweight. Linkify’s Keyword Extraction Cloud evaluates thousands of keywords simultaneously. In order to minimize its response time, any content or text being searched is automatically split into chunks and simultaneously processed by numerous machines in Linkify’s cloud deployment.





From an app monetization standpoint, Linkify’s information widget enables the placing of ads within the content, without using banners that reduce screen real estate or interfere with a mobile app’s UI. Ads are also contextual so they will be relevant to readers. Developers can utilize Amazon Associate services and setup seller affiliates to the keywords Linkify generates.





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