Introducing SPARQLGraph, a Platform for Querying Biological Semantic Web Databases

sgDominik Schweiger, Zlatko Trajanoski and Stephan Pabinger recently wrote, “Semantic Web has established itself as a framework for using and sharing data across applications and database boundaries. Here, we present a web-based platform for querying biological Semantic Web databases in a graphical way.  Results: SPARQLGraph offers an intuitive drag &drop query builder, which converts the visual graph into a query and executes it on a public endpoint. The tool integrates several publicly available Semantic Web databases, including the databases of the just recently released EBI RDF platform. Furthermore, it provides several predefined template queries for answering biological questions. Users can easily create and save new query graphs, which can also be shared with other researchers.” Read more

SPARQL City’s Benchmark Results Showcase New Possibilities in Enterprise Graph Analytics

Solution demonstrates 10x+ the performance while running on 100x the data

Enterprise meet Graph Analysis - SPARQLcity.comNoSQL Now 2014 & SemTechBiz 2014

San Diego – August 20, 2014 – SPARQL City, which introduced its scalable graph analytic engine to market earlier this year, today announced that it has successfully run the SP2 SPARQL benchmark on 100 times the data volume as other graph solution providers, while still delivering an order of magnitude better performance on average compared to published results.

SPARQL City ran the SP2 Benchmark against 2.5 billion triples/edges on a sixteen node cluster on Amazon EC2. Average query response time for the set of seventeen queries was about 6 seconds, with query 4, the most data intensive query involving the entire dataset taking approximately 34 seconds to run. By comparison, the best reported query 4 result by other graph solution providers has been around 15 seconds, but this is when running against 25 million triples/edges, or 1/100th of the data volume in SPARQL City’s benchmark test. This level of performance, combined with the ability to easily scale out the solution on a cluster when required, makes easy to use interactive graph analytics on very large datasets possible for the first time. Detailed benchmark results can be found on our website.

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Semantic Web Jobs: Mayo Clinic

Mayo Clinic logoThe Mayo Clinic is looking for a Senior Ontologist in Rochester, MN. According to the post, this position will, “Provide leadership in the development, management and implementation of the Mayo Consumer Vocabulary to support navigation systems, search mechanisms, search engine optimization and personalized delivery of health information and services for Mayo Clinic Global Products and Services. Works collaboratively in cross functional teams to assess ontology needs to support product development across the department. Evaluates content domains, conducts content audits and analysis to inform the ongoing development of the Mayo Consumer Vocabulary. Supervises and directs ontology specialists and manages projects requiring substantial intra-organizational coordination.” Read more

Medallia Raises $50M to Decode Customer Sentiment

medGeorge Anders of Forbes reports, “Medallia is $50 million richer, thanks to a new infusion from one of Silicon Valley’s top venture firms: Sequoia Capital. The new money will help the Palo Alto, Calif., customer-insights company expand geographically and tackle one of software’s trickiest challenges: decoding the noisy rumbles of public sentiment. Medallia helps big companies such as  Nordstrom, Best Western, Lego and Telstra figure out what customers really think about various products and services. A generation ago, direct feedback was scarce. Now, if anything, there’s too much of it. Add up everything being expressed on Twitter, Yelp, TripAdvisor, e-mail surveys and old-fashioned comment cards — and company executives can feel as if they’re drowning in too much information that keeps arriving hourly in haphazard form.” Read more

Syapse Selects SYSTAP’s Bigdata® as Semantic Database for Precision Medicine Data Platform

Syapse and BigData logosFor immediate release: 8/19/2014

WASHINGTON, D.C. – SYSTAP, LLC. today announced that Syapse, the leading provider of software for enabling precision medicine, has selected Bigdata® as its backend semantic database. Syapse, which launched the Precision Medicine Data Platform in 2011, will use the Bigdata® database as a key element of their semantic platform. The Syapse Precision Medicine Data Platform integrates medical data, omics data, and biomedical knowledge for use in the clinic. Syapse software is delivered as a cloud-based SaaS, enabling access from anywhere with an internet connection, regular software updates and new features, and online collaboration and delivery of results, with minimal IT resources required. Syapse applications comply with HIPAA/HITECH, and data in the Syapse platform are protected according to industry standards.

Syapse’s Precision Medicine Data Platform features a semantic layer that provides powerful data modeling, query, and integration functionality. According to Syapse CTO and Co-Founder, Tony Loeser, Ph.D., “We have adopted SYSTAP’s graph database, Bigdata®, as our RDF store. Bigdata’s exceptional scalability, query performance, and high-availability architecture make it an enterprise-class foundation for our semantic technology stack.”

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A Look At The State of Information Governance

igiThis month saw the release of the Information Governance Initiative’s Annual Report for 2014, a study aiming to report the perceptions of information governance practitioners, providers and analysts as well as advance information governance as a concept, market and operational model.

The IGI consortium and think tank was founded by leaders in the information governance field and supported by vendors with semantic tech and text analytics backgrounds, including EquivioHP/Autonomy, OpenText, Recommind  and Zylab. About 500 respondents provided input to the survey.

About 80 percent of these respondents agreed that IG included risk- and value-focused activities, with the focus, however, on risk prevention, with efforts such as records information and management, information security and compliance as the top-marked concepts. That said, more than 50 percent of respondents in each case include among IG’s facets big data, business intelligence, and data science – and IGI believes that the value side will continue to grow, given the significant recent advancements in data analytics and their continuing spread through the enterprise. Given how far IG’s facets extend, “IG should serve as the coordinating function for all of these activities, tying them together into one humming, efficiently functioning operation.”

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Semantic Web Jobs: IBM

ibmIBM is looking for a Watson Algorithm Developer to work in one of many locations around the United States. According to the post, “We are looking for researchers and/or algorithm developers with a background in statistics that specifically leveraging machine learning capabilities, unstructured data, natural language processing on the Watson Unstructured Information Management Architecture (UIMA) based pipeline. You will be expected to be flexible in performing whatever high priority software engineering work is necessary to achieve client goals. You’ll be responsible for ensuring the Watson software components are expertly designed, tested, debugged, verified, and ready for integration into IBM’s best-of-breed solutions that help organizations improve their business outcomes in the global marketplace.” Read more

Famo.us Raises $25M to Help Users Make Apps with JavaScript

fam-300x234Kara Swisher reports on Recode, “Famo.us, an unusual programming startup that allows users to make nifty mobile apps using JavaScript, has raised $25 million in additional funding and added high-profile investor Jerry Murdock to its board. The new round comes after two others — one for $1.1 million and another for $4 million. About $20 million of the new round is in exchange for equity, while $5 million is debt. Along with Murdock — whose investments via Insight Venture Partners have included Nest, Flipboard and Twitter — Samsung Ventures and Javelin Venture Partners are also participating, the company said. The San Francisco-based company is aimed at using JavaScript, the sometimes disrespected programming language, to create a product that is easy to use by a range of developers, even non-techies. To help promulgate that, Famo.us also offers a free online ‘university’ where anyone can learn to program using its tools.” Read more

Yahoo Acquires Local Search App Zofari

zofariMenchie Mendoza of TechTimes recently wrote, “Affectionately described as a ‘Pandora for places,’ Zofari’s acquisition seemed to have attracted less attention when the deal was announced last week. Zofari uses natural language processing, machine learning, and third party data to collect information that matches up the user with places which the user may find interesting. The financial terms of the acquisition have not been revealed. On Zofari’s official site, the company confirmed that four of its employees are joining Yahoo. They are identified as Oliver Su, Shahzad Aziz, Jason Kobilka and Nate Weinstein. ‘After meeting some of the amazing folks on the Yahoo Search team and hearing about their vision, the decision for our team to join Yahoo was an easy one,’ said in the announcement. ‘We can’t talk about what we’re working on yet, but needless to say we are very, very excited’.” Read more

Expert System Announces Two New Products at SemTechBiz 2014

Expert System LogoSAN JOSE, CA — (August 18, 2014) – Expert System US, Inc., a leader in semantic technology, today announced the launch of two new product solutions, Cogito Taxonomy Studio and Cogito Connected for Microsoft SharePoint, to their award-winning Semantic Solution Suite. The products will demonstrated at the 10th Annual Semantic Technology & Business Conference (SemTechBiz) in San Jose, CA.

The Cogito Semantic Solution Suite is based on an advanced semantic analysis engine and a complete semantic network that enables a “human-like” understanding of any collection of unstructured documents and text with speed, context and precision. Cogito exceeds the limits of conventional keyword technology and provides more effective management of the growing volume of information companies manage, turning it into accessible, inter-linked and usable knowledge.

The new Cogito Taxonomy Studio is a complete solution that addresses all of the steps in the process of creating and deploying a taxonomy to make all types of enterprise content and other strategic information more accessible. It addresses all steps in the process of creating and deploying a taxonomy to make all types of enterprise content and other strategic information more accessible. The new cloud-based solution will provide data-driven taxonomy node creation and development, taxonomy deployment, automated rules creation categorization rules optimization, and document categorization.

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