Posts Tagged ‘scalability’

Stardog 2.1 Hits Scalability Breakthrough

Stardog LogoWashington, DC – January 21, 2014 – The new release (2.1) of Stardog, a leading RDF database, hits new scalability heights with a 50-fold increase over previous versions. Using commodity server hardware at the $10,000 price point, Stardog can manage, query, search, and reason over datasets as large as 50B RDF triples.

The new scalability increases put Stardog into contention for the largest semantic technology, linked data, and other graph data enterprise projects. Stardog’s unique feature set, including reasoning and integrity constraint validation, at large scale means it will increasingly serve as the basis for complex software projects.

“We’re really happy about the new scalability of Stardog,” says Mike Grove, Clark & Parsia’s Chief Software Architect, “which makes us competitive with a handful of top graph database systems. And our feature set is unmatched by any of them.”

The new scalability work required software engineering to remove garbage collection pauses during query evaluation, which the 2.1 release also accomplishes. Along with a new hot backup capability, Stardog is more mature and production-capable than ever before.

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Nara Neural Networking Dining Personalization Service Goes Mobile, Adds Cities, And Targets New Categories With Partners

Early in the summer, The Semantic Web Blog introduced readers to Nara, an advanced neural networking service to automate, personalize and curate web dining experiences for users. (See that story here.)

The service is moving ahead with the launch today of its mobile version, as well as in other respects. “We’re now doing a full-on consumer launch of a polished product on both the web and mobile [platforms],” says CTO Nathan Wilson. “People really are clamoring for the mobile component, especially for this [dining] use case.” Versions for both the iPhone’s iOS and Android operating systems are available.

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Real-Time NLP And The Cloud Are Key To Online Recipe And Shopping Service Whisk

What do you get when you mix two parts natural language processing with a little personalization, and add in a dash of the cloud? The answer is Whisk, a U.K. company building a service that lets users purchase the ingredients for any recipe they find on the Internet.

“The crux of it is that you can take any recipe on the ‘Net and turn it into a transaction in on online market,” says co-founder Craig Edmunds. “There’s a machine translation problem from the recipe up through to our internal language, which is one NLP problem, and then another is from our internal language into online markets.” Another leg of the work is that the service seeks to not match to just one item at a market but as many as possible, and consider user preferences as to which is the optimal product, too.

At the upcoming Semantic Technology and Business Conference in the U.K., Edmunds will be considering how the issues of machine translation, manual intervention, personalization and the cloud intersect in creating a service that adds all the ingredients they need for dishes they find online straight into their online shopping basket.

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3RoundStones Execs Discuss SemTech Start-Up Winner Callimachus Enterprise — And The Drive To A Semantic Web Ecosystem



Ecosystem image via Shutterstock

As the Semantic Web Blog recently noted, 3RoundStones’ Callimachus Enterprise emerged as the winner of the Top Semantic Technology Start-up competition that was held at the Semantic Tech & Business Conference (#SemTechBiz) in San Francisco a few weeks ago. The commercially supported Linked Data Management system, now being piloted by eight companies, will this summer be released to the general public as Version 1.0.

Callimachus Enterprise is distinguished not only by its technology, but by CTO David Wood’s presentation that spoke to the real business needs of the enterprise today – including rapidly demonstrating value, in its case around exposing, connecting and visualizing disparate enterprise content – and also in that it provides a way for organizations to deal with their enterprise information in an entirely cloud-based solution. It leverages the Amazon cloud.

“A lot of companies are using cloud-based solutions for travel and expense tracking,” says CEO Bernadette Hyland. “But this is the beginning of a new wave.”

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Where To Eat? Let Neural Network Computing Help You Decide

Dollars to donuts most folks haven’t ever found a place to eat courtesy of neural networking technology before. Generally, Internet searches for spots to have a bite come courtesy of friends’ Facebook recommendations, services like Yelp, and even some semantically-powered offerings such as BooRah, now an Intuit company.

But the collection of neuroscientists, computer scientists, astrophysicists, and creative artists behind Nara, launching into public beta today, have taken the advanced neural networking route to automate, personalize and curate web dining experiences for users – though there’s more to come on the future menu. President and CEO Tom Copeman says of the company, which in April secured $3.6 million of a $4.5 million equity offering, that its cutting-edge neural network and proprietary and patented algorithms and process for analyzing tons of web data, and personalizing it, including considering user feedback on the suggestions it offers, is creating a whole new category.

That is the pure-play digital lifestyle brand that “creates an emotional connection between us and the Web. We’re trying to change how people think about the web, and from sense of what it means to me, and makes sense to me, and how personal it is to me.”

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Vital.AI: A Semantic Platform for Big Data-Driven Apps

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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JWS Releases Special Issue on Scalability

The Journal of Web Semantics has released volume 10, a special issue on Scalability edited by Jeff Heflin and Heiner Struckenschmidt: “Preprints from the issue, which includes a short introduction and four research papers, are available on the Journal of Web Semantics preprint server.” The preprints include an editorial by Heflin and Struckenschmidt entitled Web-Scale Semantic Information Processing.

Other preprint articles currently available online include the following: Scalable Distributed Indexing and Query Processing over Linked Data by Marcel Karnstedt, Kai-Uwe Sattler and Manfred Hauswirth; Searching Web Data: an Entity Retrieval and High-Performance Indexing Model by Renaud Delbru, Stephane Campinas and Giovanni Tummarello Read more

Liaison Technologies Launches Health Care Partner Program

Liaison Technologies has launched a new partner program for health care solution providers: “The Liaison Healthcare Partner Program enables third parties to access and contribute to an integrated platform for patient information-all with an emphasis on trust and privacy, scalability and flexibility. Liaison’s integration-as-a service platform integrates a variety of disparate systems and technologies, allowing different solutions and organizations to ‘talk’ to one another to support Health Information Exchange (HIE), Electronic Medical Record (EMR), Accountable Care Organization (ACO) and Health Insurance Exchange initiatives, and to help healthcare organizations comply with the HITECH ACT.” Read more

New Word Graph API Takes Wordnik From Fun and Funky Apps to Some Serious Business Services

You may know Wordnik from subscribing to its Word of the Day service (by the way, today that word is eloign). Or perhaps you know it from some of the apps that have used its API – such as Freebase WordNet Explorer, or one of the many mobile ones that let users access direct features of the system through their smart phones.

Now comes something new on the API front: Word Graph is the latest result of some three years of algorithm development around analyzing the digital text that Wordnik has collected from partners, to understand the relationship between words in order to derive meaning. Word Graph matches content based on digital text from partners who need to understand more of what their content says and is, and to help them and their services make decisions based on that understanding.

In that respect, it’s taking Wordnik’s API services closer to helping accomplish business requirements, rather than drive neat B-to-C apps, from crossword puzzles to jumble games to pronunciation voice services, where its APIs have currently mostly been employed.

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