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

RoadMap Your Text Analytics Initiative

analyticspixWhat best practices should inform your company’s text analytics initiatives? Executive Lessons on Modern Text Analytics, a new white paper prepared by: Geoff Whiting, principal at GWhiting.com and Alesia Siuchykava, project director at Data Driven Business provides some insight. Contributors to the lessons shared in the report include Ramkumar Ravichandran, Director, Analytics, at Visa and Matthew P.T. Ruttley, Manager of Data Science at Mozilla Corp

One of the interesting points made in the paper is that text analytics can be applied to many use cases: customer satisfaction and management effectiveness, product design insights, and enhancing predictive data modeling as well as other data processes. But at the same time, a takeaway is that it is better for text analytics teams to follow a narrow path than to try to accommodate a wide-ranging deployment. “All big data initiatives, and especially initial text analytics, need a specific strategy,” the writers note, preferable focusing on “low-hanging fruit through simple business problems and use cases where text analytics can provide a small but fast ROI.

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Semantic Technology Job: R&D Engineer

IPsoft logoIPsoft needs a R&D Engineer. The job description states, “Amelia is the next generation human-computer dialog system that acts as your personal student, instructor, assistant, or friend.  Amelia is based on the latest state-of-the-art technologies in natural language processing, information retrieval, machine learning, and more.What distinguishes Amelia from previous generation human-computer dialog systems is its learning ability.  Amelia is capable of understanding syntax and semantics of natural language and automatically builds its own neural ontology from them.  If you want to teach Amelia about a certain object, you simply describe the object in natural language, then Amelia builds a neural ontology for the object automatically.  Once the neural ontology is built, Amelia can explain or answer questions about the object by traversing through the ontology.  Objects do not have to be specified upfront; you can talk about random stuffs and expect Amelia to build neural ontologies for objects that are newly introduced during your conversation with Amelia.  When you ask questions about things that Amelia does not have neural ontologies for, Amelia tries to find the most appropriate answer from the World Wide Web.  These include questions about weathers, current events, historical/geopolitical facts, etc.”

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Derive Critical Business Value from Big Data Inside Your Secure Enterprise Cloud

Digital Reasoning logoNew Software Release Poised to Bolster Intelligence Analysis and Surveillance Capabilities for Financial Services Firms and Government Agencies

NASHVILLE, Tenn.–Digital Reasoning, a leader in cognitive computing, today announced immediate availability of Synthesys® 3.9, the latest release of its machine learning platform for analyzing human language data at scale.

The release comes at a time when the global demand for advanced Big Data analytics is growing across many sectors and use cases. Enterprises want effective ways to combine disconnected data into synthesized knowledge about customers, employees and high-value targets in order to achieve better results and mitigate increasing risks.

While organizations have invested significant resources into managing the surging volume, velocity, and variety of data, it has proven difficult to extract real business value from Big Data. The complexity of Big Data environments means it is difficult to normalize and securely connect information across disparate sources — hampering efforts to apply Big Data to critical processes such as conduct risk management in banking as well as threat detection and targeting in the context of national security. Synthesys 3.9 now fills this void by providing capabilities to detect key risk and performance indicators in human communication and automatically connect and aggregate information based on those indicators.

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