Robin Wauters of The Next Web reports, “Seattle startup GraphLab claims it is building the ‘fastest machine-learning analytics engine for graph datasets’, based on the popular open-source distributed graph computation framework with the same name, and it has just raised capital to come through on its promise. Founded by scientists from the University of Washington, Carnegie Mellon and UC Berkeley, GraphLab today announced that it has secured $6.75 million in a financing round led by Madrona and NEA.” Read more

Ben Cole of SearchCompliance recently interviewed information management expert Jeffrey Ritter about the latest e-discovery breakthroughs and best practices. Asked about the biggest breakthroughs in e-discovery, Ritter replied, “There are four of them worth mentioning. The first breakthrough that has never been appreciated in the legal community is the use of visualization patterning technology… The second… is the development and implementation of audit management tools in the field of e-discovery and the related legal services.” Read more

Vienna, Austria, May 18, 2013 –(PR.com)– Semantic Web Company (SWC), developer and vendor of PoolParty Semantic Suite, joins OpenLink Integration Business Partner Program. SWC will make Virtuoso an integral part of its products and services portfolio. This portfolio includes training, implementation, and product development covering Linked Data, Semantic Web, and Big Data projects. Read more

The Intel International Science and Engineering Fair has a winner: Ionut Budisteanu of Romania received the Gordon E. Moore Award. He gets to take home the $75,000 prize package as the first-place champ for creating a model of a low-cost, self-driving car that uses artificial intelligence.

Ionut used a low-res 3-D radar and mounted webcameras for an autonomously controlled car that uses AI to detect traffic lanes and curbs, along with the real-time position of the car. The cost? Just $4,000, according to Intel’s announcement of the winners. That’s tens of thousands of dollars less than Google, which reportedly relies on costly high-res 3-D radar, and luxury car companies can do it for.

But that’s not the only AI-related development in the vehicles space in recent days.

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Our discussion of Big Data at SemTechBiz, begun here, continues:

The Enterprise Linked Data Cloud Needs Semantics, And More

Another exploration of Big Data’s intersection with semantic technology will take place at this session, where Dr. Giovanni Tummarello, senior research fellow at DERI and CTO of SindiceTech, will talk about the former becoming an enabler for the latter to be really useful in enterprises. “A lot of people say it’s via Big Data that semantic technologies like RDF will see a coming of age and clear applications in certain industries,” he says. There’s value to adding data first and understanding it later, and to that end, “semantic technologies give you the most agile tool to deal with data you don’t know, where there’s a lot of diversity, and you don’t know what of it particularly will be useful.”

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Elsevier is looking for a Knowledge Representation Specialist in Philadelphia, PA. The post states, “The Content Enrichment Center (CEC) seeks a Knowledge Representation Specialist for developing Elsevier Merged Medical Taxonomy (EMMeT) as part of its Health Sciences Smart Content initiative. The candidate will be responsible for enhancing EMMeT to improve its application in search and discovery products such as ClinicalKey in three key areas: (re)modeling parts of the ontology; integrating new reference vocabularies or updating EMMeT with newest versions of reference vocabularies; creating cross-walks between EMMeT and other vocabularies. The candidate will apply own medical knowledge and/or work with external clinical experts to confirm and validate clinical accuracy of EMMeT as both a taxonomy and ontology and will also work with a team of Knowledge Representation Specialists, as well as product leads to determine how to best build and leverage semantic capabilities.” Read more

A new panel has been added to the lineup for next week’s Semantic Technology and Business Conference in San Francisco. Incubating and Investing in Semantic Startups will give attendees the opportunity to meet entrepreneurs who have recently raised millions in venture funding for their startups. Attendees will also:

• Learn from the leader behind the technology transfer program that was the birthplace of Siri and is now incubating Tempo, Desti and Trapit.
• Learn from the experience of people responsible for evaluating startups as targets for potential investment, incubation, and/or acquisition.
• Learn about the do’s and don’ts for positioning your idea for incubation and venture for funding. Read more

Todd Park

Justin Kern of Information Management reports, “The U.S. government is outlining its new program for an open source repository to foster collaboration on getting more information to citizens in a faster manner. Federal CTO Todd Park formally introduced Project Open Data on Thursday in a blog post, and gave an update on its first days of activity. In the first 24 hours after Project Open Data was published, more than two dozen contributors submitted to its GitHub platform, including fixes to broken Web links and policy input. Other, meatier contributions, or ‘pull requests,’ included a tool that converts spreadsheets and databases into APIs for ease of use by developers, and code that translates geographic data from locked formats into open, available formats, according to Park.” Read more

Mindbreeze, a software provider for enterprise search and digital cognition, has been positioned as a “Challenger” in the Gartner “Magic Quadrant for Enterprise Search” ¹⁾. The evaluation is one of the most internationally influential market analyses for the evaluation of enterprise search software. The US analyst group analyses different providers based on criteria such as market penetration, innovation and strength of implementation and places them into the categories “Challengers”, “Leaders”, “Visionaries” and “Niche Players”. Read more

CHANDLER, ARIZ. — The paper investigates the application of semantic model design and technology in industrial operations integration and the evolving role of Semantic Computing in operations management.  Semantic (data) modeling as a core component of application architecture is compared to more familiar architectural integration patterns. As operations functions are described, the value of semantic models is illustrated through a series of examples that should be familiar to the reader. Read more