Semantic Technology Job: Director of Taxonomy & Info Architecture

KForce logoKForce (a recruiter) is looking for a director of taxonomy and information architecture. The job duties include:

  • “Oversee ongoing enhancement of our information architecture and the schema, including taxonomy / ontology development.
  • Manage, train, mentor, and recruit a growing team of analysts and QA specialists.
  • Manage multi-stage QA process for verifying the integrity of data scraped and then coded from the internet.
  • Monitor labor market trends, and develop rules to account for the emerging jobs, skills and credentials within our taxonomies.
  • Leverage published data series and other third party information to inform and validate data curation activities.
  • Develop and implement coding enhancement initiatives based on their utility to products, research efforts and clients.
  • Implement automated data coding and quality control procedures
  • Work with a team of software developers to automate data coding and quality control procedures, to embed data innovations effectively within products, and to support the planning and implementation of a robust data warehouse infrastructure.”

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Open Garden’s FireChat Adds to the IoT

Open Garden logoKevin Fitchard of Gigaom recently posted that, “Thanks to the popularity of its FireChat hyperlocal messaging app, Open Garden’s networking software has been downloaded into more than 5 million mobile devices around the world. Open Garden believes it now has enough users out there to execute the next the stage of its plan: it wants to use all of these smartphone nodes to create a new network for the internet of things. This concept probably requires some explaining as it doesn’t fit into any of the other IoT networking schemes we’ve written about in the past. Unlike say your smart home, which uses a hub to aggregate a bunch of Zigbee or Wi-Fi connections, or a connected vehicle fleet, which taps into the cellular network, Open Garden’s IoT network would be created through millions of shared connections owned by you, me or anyone else with one of its apps on their smartphones, tablets or PCs.”

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Artificial Intelligence Enhances Video Games

Video Game player taking action.A recent announcement on EurekAlert! states: “Researchers from North Carolina State University have developed artificial intelligence (AI) software that is significantly better than any previous technology at predicting what goal a player is trying to achieve in a video game. The advance holds promise for helping game developers design new ways of improving the gameplay experience for players.”We developed this software for use in educational gaming, but it has applications for all video game developers,” says Dr. James Lester, a professor of computer science at NC State and senior author of a paper on the work. “This is a key step in developing player-adaptive games that can respond to player actions to improve the gaming experience, either for entertainment or – in our case – for education.” The researchers used “deep learning” to develop the AI software. Deep learning describes a family of machine learning techniques that can extrapolate patterns from large collections of data and make predictions. Deep learning has been actively investigated in various research domains such as computer vision and natural language processing in both academia and industry.”

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Semantic Web Job: Java JEE/C++ Developer

Net Consultants logoNet Consultants is looking to recruit a Java JEE/ C++ Developer with experience in RDF. The position description states, “Contract for US Citizen working at Government contractor in Rancho Bernardo on an archived image library system.

Technical Qualifications/Experience Required:

  • C++ Developer
  • 3+ years Java JEE and C++ development
  • SQL/Oracle Development on Linux/Unix environment
  • Writing SW for archiving, dissemination of large amounts of data.  Understanding the topology for accessing, moving, storing data and generating discrepancy reports
  • Some experience writing RESTful web services
  • Other tools desired:  Jira/greenhopper, Jenkins, Spring, Nexus, Fisheye, json, RDF, MongoDB, Python, Jquery, Leaflet, Tomcat, Javascript, Arborjs
  • Cobra would be a plus (original application written in Cobra)”

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Baidu Takes on Artificial Intelligence

Baidu logoDaniel Sparks of The Motley Fool reported, “”Chinese companies are starting to dream,” said early investor in Baidu (NASDAQ: BIDU  ) and managing partner at GGV Capital Jixun Foo. Foo’s proclamation was made in an in-depth article by MIT Technology Review, which examined the Chinese search giant’s new effort to change the world with artificial intelligence. The company’s new AI lab does, indeed, accompany some lofty aspirations — ones big enough to hopefully help Baidu become a global Internet powerhouse and to compete with the likes of Google in increasingly important emerging markets where the default search engine hasn’t yet taken the throne. But what are the implications for investors? Fortunately, Baidu’s growing infatuation with AI looks like it could give birth to winning strategies that could build sustainable value over the long haul.”

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Word To Developers: Power Your Apps With Data And Insights

aplogoApigee wants the development community to be able to seamlessly take advantage of predictive analytics in their applications.

“One of the biggest things we want to ensure is that the development community gets comfortable with powering their apps with data and insights,” says Anant Jhingran, Apigee’s VP of products and formerly CTO for IBM’s information management and data division. “That is the next wave that we see.”

Apigee wants to help them ride that wave, enabling their business to better deal with customer issues, from engagement to churn, in more personal and contextual ways. “We are in the business of helping customers take their digital assets and expose them through clean APIs so that these APIs can power the next generation of applications,” says Jhingran. But in thinking through that core business, “we realized the interactions happening through the APIs represent very powerful signals. Those signals, when combined with other contextual data that may be in the enterprise, enable some very deep insights into what is really happening in these channels.”

With today’s announcement of a new version of its Apigee Insights big data platform, all those signals generated – through API and web channels, call centers, and more – can come together in the service of predictive analytics for developers to leverage.

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Semantic Web Job: Information Solution Architect

Jeppesen logoJeppesen is seeking an information solution architect. The job description states: “This person will serve as an Information Architect for development of a large, geospatial data management system. Specifically, this person will specify and implement approaches to ensure efficient access, editing, and transaction management for geospatial data and work in the database and access layer of the system. This involves tuning the Physical Data Model and optimization for performance with Oracle 12c Spatial and Graph, Oracle Workspace Manager, and custom developed data access frameworks and services in Java.  This person will interact with data modeling, database administration, data center/IT, and software engineering teams.” Read more

Belkin and Osram Team Up for IoT

belkin logoBelkin International announced, “Belkin International, a leading Internet of Things company, and OSRAM SYLVANIA, a leading global lighting manufacturer, today announced that the two companies have entered into a strategic partnership to collaborate on residential solutions with the OSRAM LIGHTIFY™ smart connected lighting ecosystem and Belkin’s WeMo® home automation ecosystem. OSRAM SYLVANIA will first add WeMo compatibility to the SYLVANIA ULTRA iQ™ BR30 LED light bulb, followed by a broader portfolio of connective lighting products for the home shortly after the launch of OSRAM LIGHTIFY in Europe this fall.”

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MonkeyLearn Unveils its Powerful and Affordable Artificial Intelligence Technology Platform for Developers

MonkeyLearn logoA recent release from MonkeyLearn states, “Developers, startups, and small and medium-sized enterprises (SMEs) now have access to a powerful, customizable, and affordable artificial intelligence (AI) technology platform for text mining, MonkeyLearn. As one of the first companies to meet the demands of a new, sophisticated era of AI, MonkeyLearn will be unveiled in beta today at TechCrunch Disrupt San Francisco. MonkeyLearn’s patent-pending algorithm creation engine allows developers in any industry to quickly and easily create and incorporate text mining capabilities into their own platforms, applications and websites, regardless of their experience with AI technologies. Artificial intelligence technologies for text mining have become a priority for Internet and technology companies, as they allow them to understand users’ interests and provide similar or relevant recommendations.”

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DBpedia 2014 Announced

DBpedia logoProfessor Dr. Christian Bizer of the University of Mannheim, Germany, has announced the release of DBpedia 2014. DBpedia is described at dbpedia.org as  “… a crowd-sourced community effort to extract structured information from Wikipedia and make this information available on the Web. DBpedia allows you to ask sophisticated queries against Wikipedia, and to link the different data sets on the Web to Wikipedia data. We hope that this work will make it easier for the huge amount of information in Wikipedia to be used in some new interesting ways. Furthermore, it might inspire new mechanisms for navigating, linking, and improving the encyclopedia itself.”

The full announcement on the new release is reprinted below with Bizer’s permission.

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DBpedia Version 2014 released

1. the new release is based on updated Wikipedia dumps dating from April / May 2014 (the 3.9 release was based on dumps from March / April 2013), leading to an overall increase of the number of things described in the English edition from 4.26 to 4.58 million things.

2. the DBpedia ontology is enlarged and the number of infobox to ontology mappings has risen, leading to richer and cleaner data.

The English version of the DBpedia knowledge base currently describes 4.58 million things, out of which 4.22 million are classified in a consistent ontology (http://wiki.dbpedia.org/Ontology2014), including 1,445,000 persons, 735,000 places (including 478,000 populated places), 411,000 creative works (including 123,000 music albums, 87,000 films and 19,000 video games), 241,000 organizations (including 58,000 companies and 49,000 educational institutions), 251,000 species and 6,000 diseases. Read more

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