Semantic Technology Jobs: IBM

watsonIBM is searching for a Watson Research Software Engineer in Yorktown Heights, NY. According to the post, “IBM is seeking a Software Engineer at its Watson Research Lab in Yorktown Heights, NY. This candidate will work on IBM’s cognitive computing effort and help shape the face of the next generation of computing machines. Ideal candidate will have proven analytical abilities and demonstrated programming skills (C++, Java). Background in machine learning, mathematics, machine translation, or natural language processing is preferred. Experience with web technologies, cloud computing, and service oriented architectures a plus.” Read more

How AppZen Uses Natural Language Process to Automate Expense Reports

appzenConner Forrest of Tech Republic reports, “AppZen, a Sunnyvale, California-based startup, is leveraging natural language processing and machine learning to automate the expense report process. The company bills itself as an ambient expense manager, and it works in the background by tracking your expenses as they happen and creates a report for you. The process begins with the mobile app that runs on Android or iOS, which is able to track an employee’s calendars, itineraries, and credit card charges to build out an expense report as it happens.” Read more

Expert System Acquires the ICM and iLab Divisions of ISOCO

Expert System LogoMODENA, ITALY–(Marketwired – Dec. 11, 2014) – Today, the board of directors of Expert System, a leading developer of semantic software for the effective management of information and big data, listed on the AIM Italia market (organized and managed by Borsa Italiana S.p.A.), has approved subsidiary Expert System Iberia S.L.’s acquisition of the ICM (Intelligent Content Management) and iLab – Research Center Innovation – divisions of iSOCO, an international company based in Barcelona with contacts in South America, specialized in the development of semantic technology based software for the management of unstructured information aimed at a wide variety of industrial sectors, especially banking, government and pharmaceuticals. Read more

Semantic Web Developer Challenge: We Have A Winner And Runners-Up Too

xsblogoThe results of the Semantic Web Developer Challenge, co-sponsored by XSB and SemanticWeb.com and launched at this summer’s Semantic Technology and Business Conference, are in: The $5,000 prizewinner was a team of two, Greg Varga and Siraj Bawa,  from Vanderbilt University. There were two runners-up: One was a team from Stony Brook University, comprised of Mrinal.Priyadarshi, Anurag Choudhary, and Paul Fodor, and the other was Roman Sova from consulting firm Good Monster.

The aim of the Challenge was to build sourcing and product life cycle management applications leveraging XSB’s PartLink Data Model, which the company developed as a project for the Department of Defense Rapid Innovation Fund. The model uses semantic web technology to create a coherent Linked Data model for all part information in the Department of Defense’s supply chain – which includes about 40 million component parts, their manufacturers and suppliers, materials, technical characteristics and more.

The large collection of engineering product information has potential beyond DoD use alone. “The current size of the Part Link triple store is well over a billion triples — maybe 1.3 billion,” says Alberto Cassola, vp sales and marketing at XSB. “For the industrial sector it may very well be one of the largest efforts of its kind.”

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Semantic Technology Jobs: 3M

3m3M is looking for a Software Engineer – NLP in Murray, UT. According to the post, “3M HIS is currently seeking a NLP Software Engineer to work on our internal services platform, which is a framework and user experience for managing Natural Language Processing platform content. This person would provide features and functionality that interacts with a large scale production environment to monitor processing, support questions about performance, prioritize work, and allow editing of content which drives the NLP and coding process.”

Qualifications for the position include: “Bachelor’s Degree in Computer Science. Experience with language processing, machine learning, and medical data. Read more

Pixar Vets Raise $15M for NLP Talking Toy Company

toytalkDan Primack of Fortune reports, “ToyTalk, the company founded by Pixar veterans to help digital apps and physical toys to have interactive conversations with young children, has raised $15 million in new venture capital funding led by Khosla Ventures. Returning investors included Charles River Ventures, First Round Capital, Greylock and True Ventures. The company now has raised nearly $30 million in total… ‘For us, ToyTalk is most successful in the long-term if a whole lot of kids and families are talking to a whole bunch of characters, including beloved ones that they already know,’ explains Oren Jacob, ToyTalk’s CEO and former chief technology officer for Walt Disney Co.’s Pixar studio. ‘Our technology, which we call PullString, lets us do that in both the digital world through apps and the physical world through actual toys’.” Read more

Introducing schema.org Version 1.92

schema dot org logoThe official blog of schema.org yesterday announced the release of version 1.92 of schema.org. The post, by Dan Brickley, states, “With this update we ‘soft launch’ a substantial collection of improvements that will form the basis for a schema.org version 2.0 release in early 2015. There remain a number of site-wide improvements, bugfixes and clarifications that we’d like to make before we feel ready to use the name ‘v2.0’. However the core vocabulary improvements are stable and available for use from today. As usual see the release notes page for details.” Read more

Semantic Web Jobs: Columbia University

columbiaColumbia University is looking for an Associate Research Scientist in New York, NY. According to the post, “The Lamont-Doherty Earth Observatory of Columbia University invites applications for an Associate Research Scientist to conduct research in the Lamont Geoinformatics Group that contributes to the development of academic Earth Sciences data systems and services, web applications, and data ingestion tools, with a primary focus on the development of ontologies and advanced data access and data contribution interfaces. Develop science-driven solutions for grant-funded initiatives; develop, test, and deploy Web/database applications. Must exercise creativity and/or expertise in the normal performance of duties.” Read more

NLP Provider Aylien Releases New Text Analysis SDKs

aylienJanet Wagner of Programmable Web reports, “AYLIEN, a natural language processing (NLP) services and API provider, has announced the release of new SDKs designed to help developers quickly and easily integrate the AYLIEN Text Analysis API with their applications. This first set of new SDKs includes Node.js, Python, Ruby and PHP, and the company plans to release SDKs for other languages in early 2015.The company released the AYLIEN Text Analysis API in February as a set of eight machine learning, natural language processing and information-retrieval APIs.” Read more

Cambridge Semantics and SPARQL City Forge Partnership to Offer Interactive Big Data Search

Cambridge SemanticsCAMBRIDGE, Mass. (PRWEB) December 10, 2014 — Cambridge Semantics, the leading provider of smart data solutions driven by Semantic Web technology, and SPARQL City, providers of a high performance scalable Hadoop-based graph database infrastructure, today announced a collaboration to jointly offer an integrated graph analytics solutions with semantic understanding to help enterprises get better understanding and value from big data.

Cambridge Semantics offers the award-winning Anzo Smart Data Platform (Anzo SDP), leveraged by customers and partners for building interactive Smart Data solutions that help enterprises rapidly discover, understand, combine, analyze, link and manage data from diverse sources, both from within and across organizational boundaries. SPARQL City’s Hadoop-based graph analytics engine provides a simple and powerful way for people to query semi-structured and structured data and find more nuanced relationships within and across these datasets in easy-to-grasp graphical representations. Read more

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