Posts Tagged ‘knowledge extraction’

Discover The Mobile App You Really Want

The semantic technology platform behind restaurant dish discovery service Dishtip (which The Semantic Web Blog discussed here) has made its way to a new domain: mobile apps. The company last week unveiled AppCrawlr, which uses its TipSense content discovery and knowledge extraction technology to cut through the noise to help users find the app that’s right for them in a world of hundreds of thousands of options for iPhone, iPad and Android devices.

“With traditional search models there’s no easy way for guided discovery to narrow down from all the apps out there to what you want,” says Dave Schorr, who with Joel Fisher is a co-founder of TipSense LLC. Keyword searches aren’t going to help you find apps that help when you are having a bad day, for instance, or understand that someone looking for a dating app (as in relationships) is looking for something different than someone looking for a date (as in scheduling and productivity) app. But searches on AppCrawlr can suss those out, taking data from from all across the web – blogs, tweets, reviews, and so on – and surfacing and organizing the concepts and topics buried in all that unstructured data.

“It’s a new paradigm to manage a large data set,” says Schorr. “We’re using concepts to come up with a much better experience for discovery.”

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Semanticizing Managed Content with IKS

Seth Grimes recently wrote, “If you believe (as I do) that semantics is the key
to smart content — to content enriched and structured to promote findability, reuse, and task-focused knowledge extraction — and if you believe (as I do) in open source, then the IKS Semantic Project may be for you. IKS stands for Interactive Knowledge Stack. It provides a framework for semanticizing managed content. Why is that important? Because ‘current [content management systems] lack the capability for semantic web enabled, intelligent content, and therefore lack the capacity for users to interact with the content at the user’s knowledge level,’ according to the August 2009 project documentation.” Read more