There are just two weeks left to apply for the SemTechBiz Start-Up Competition. Entry is free, so hurry and get your submission in! The competition page states, “At the 2013 Semantic Technology & Business Conference, SemanticWeb.com and WebMediaBrands will award one company the prize as ‘Top Semantic Technology Start-Up.’ At 12:30 pm Monday, June 3rd, companies will have the opportunity to compete on stage as they deliver their pitches before a panel of expert judges! The companies competing will have met the following conditions: (1) Have a demonstrable product (at least in “beta” stage) in the SemTech and or SemWeb space. (2) Have received no more than a Series B round of financing. To apply, go to http://wmb.skyworld.com/semtechbizsf2013-su. Please note, that the application deadline is April 1.” Read more

Yesterday The Semantic Web Blog discussed how personalized mobile assistance came up on the lists of a bright future in the eyes of semantic web experts (see here). Sharing that vision is the team at Vital.AI, the NYC-startup founded by Marc Hadfield.  Its Thrive.AI app, also a contender at SemTech’s Startup Competition, is a personalized semantic shopping agent for the iPad, but the underlying Vital.AI platform on which it is built provides an integrated suite of components for a variety of knowledge-centric, intelligence-rich, Big Data-driven applications.

The e-commerce agent, Hadfield told attendees at SemTech in San Francisco last week, was the company’s own foray into figuring out what it needed to add to the platform to make it easier to build apps that bring semantic technologies and Big Data together.

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The current stack of modeling languages for the web of data provide excellent mechanisms for capturing the static structure of data. SKOS can be used to describe concept hierarchies and vocabularies. RDF Schema and OWL can be used to define classes, properties and relationships between these conceptual entities. There is, however, a key set of application requirements these languages have not dealt with. Namely, the way to describe general computational behavior of objects.

These requirements are now addressed by an emerging standard that uses SPARQL to express rules for the Semantic Web. It is called SPARQL Inferencing Notation or SPIN. Because of its heavy use of SPARQL it is also known as SPARQL Rules. SPIN has recently been accepted by W3C as a member submission from TopQuadrant, OpenLink and RPI.

SPIN combines concepts from object oriented languages, query languages, and rule-based systems to describe object behavior on the web of data. Read more