The University of California, Santa Barbara is looking for a Computer & Network Technologist. The post states, “The National Center for Ecological Analysis and Synthesis (NCEAS) seeks a quantitative analyst/scientific programmer/database developer to support the analysis and synthesis of ecological and conservation science information. The incumbent will consult with and facilitate NCEAS’ researchers’ scientific and analytical use of technology resources at the Center, including developing and supporting collaborative solutions, scientific databases, and analytical and modeling codes, while providing other computational assistance as needed for NCEAS’ Working Groups, residents, and their related projects.” Read more
Andrew Osborne, CTO of GS1 UK recently shared an overview of how the non-profit is leveraging the Semantic Web to improve customer experiences. He writes, “For those of you unfamiliar with what GS1 actually does, we are a not-for-profit standards development organisation. Put simply, our role is to define data structures and how these are used to identify things, a role we have been performing since the 1970s. We provide a series of ‘keys’ for industry which identify various types of entity (products, locations, assets and so on) and which have highly developed allocation rules. We have also defined product attributes for bar coding (the application identifier standards), have over 1,000 product attributes defined for synchronisation in the Global Data Synchronisation Network and an extensive Global Product Classification that is used to categorise products. For visibility systems we have a standard ‘Core Business Vocabulary.’ “ Read more
The Children’s Hospital of Los Angeles is looking for a Data Systems Engineer Lead in Los Angeles, CA. According to the post, “The Lead Data Systems Engineer’s (LDSE) develops software systems for integrating, processing, and managing clinical data for research purposes. Communicates with project managers, data analysts, clinical researchers, physicians, software engineers, software architects, computer scientists. Possesses the abilities and qualities of a Data Architect for data system design, Software Architect for software system design, and Software Engineer for daily programming. Designs and builds systems for data storage or processing. Develops strategies for data management. Integrates various data sources to meet organizational requirements.” Read more
Aviva Rutkin of New Scientist recently wrote, “Rumours have been circulating that the Chinese search engine is developing a bike that could drive itself through packed city streets. The project isn’t ready to be launched yet but Baidu confirmed it is exploring the idea.The news is intriguing, and not just because self-navigating bikes would be cool. Research into autonomous vehicles is yet another way that Baidu is following Google’s model of pushing at the boundaries of artificial intelligence.” Read more
Suzanne Kattau of Silicon Angle reports, “IBM and the United Services Automobile Association (USAA), a financial services provider for the military community, today announced they have teamed up to offer IBM’s Watson Engagement Advisor in a pilot program to assist USAA members. USAA provides insurance, banking, investments, retirement products and advice to 10.4 million current and former members of the U.S. military and their families. Named after IBM founder Thomas J. Watson, IBM Watson uses natural language processing and analytics, and can process information similar to the way people think. This helps organizations to quickly analyze, understand and respond to vast amounts of Big Data. IBM’s Watson Engagement Advisor analyzed USAA’s business data and now understands more than 3,000 documents on topics exclusive to military transitions.” Read more
Digital Reasoning’s Synthesys machine learning platform (which The Semantic Web Blog initially covered here) this summer should see its Version 3.9 release. The update will build on the 3.8 release, which delivered with its Glance user interface the discovery and investigative capabilities that help information analysts in finance, intelligence and other compliance- and security-sensitive sectors react to findings in user profiles of interest and their associated relationships, activities and risks. Version 3.9 takes on the proactive part of the equation — early risk detection — via its Scout user interface.
Last year, the company honed in on compliance use cases ranging from insider trading to money laundering with Version 3.7 of Synthesys (covered here). There, the technology for discovering the meaning in unstructured data at scale, highlighting important entities in context, was applied to email communications for organizations such as financial institutions that have to be on the lookout for conversations that cross compliance boundaries.
Reed Elsevier is looking for a Principal Technology Researcher in Philadelphia, PA. According to the post, “You will bring demonstrable experience in software development using a variety of programming languages, data management tools (SQL and No-SQL databases, full-text search engines, XML stores, and/or RDF triple stores, etc.), and toolkits for text processing, ontology development, image processing, statistics, and/or machine learning… You are knowledgeable about Unicode, can look at the output of natural language processing tools and mark the grammatical errors being made, and have the ability to work with other developers in proof of concept implementations by developing necessary word lists and taxonomies, recommending particular processing steps, etc. You should also have experience working with Linked Data and semantic technologies for metadata and knowledge representation.” Read more
BOULDER, Colo. & SAN FRANCISCO–(BUSINESS WIRE)–sovrn Holdings, Inc., advocate of and partner to almost 20,000 publishers across the independent web, today announced it is partnering with Temnos, a leading content analytics company, to analyze, filter and organize millions of pages of content across sovrn’s network. Using the Temnos Content Intelligence Platform, sovrn will be able to deliver highly targeted content and more relevant online ads, giving publishers more opportunities to monetize their content and marketers the ability to maximize reach, performance and brand awareness. Read more
Christopher Tozzi of The VAR Guy reports, “PredictionIO, the open source machine learning platform, has received a big boost with the announcement of $2.5 million in seed funding, which it plans to use to make its automated data interpretation and prediction platform widely available to open source developers. PredictionIO’s goal is to make it easy for developers and companies of all sizes to integrate machine learning —i.e., software that can interpret data intelligently to make automated decisions and predictions—into their products. ‘PredictionIO aims to be the Machine Learning server behind every application,’ according to the company. ‘Building Machine Learning in software will be as common as search soon with PredictionIO’.” Read more
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