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Cambridge Semantics. Semantic Web Case Studies. Case studies include descriptions of systems that have been deployed within an organization, and are now being used within a production environment.

Semantic Web Case Studies

Use cases include examples where an organization has built a prototype system, but it is not currently being used by business functions. The list is updated regularly, as new entries are submitted to W3C. There is also an RSS1.0 feed that you can use to keep track of new submissions. Please, consult the separate submission page if you are interested in submitting a new use case or case study to be added to this list. (), by , , Activity area:Application area of SW technologies:SW technologies used:SW technology benefits: A short overview of the use cases and case studies is available as a slide presentation in Open Document Format and in PDF formats. OntoWiki — Agile Knowledge Engineering and Semantic Web. CubeViz -- Exploration and Visualization of Statistical Linked Data Facilitating the Exploration and Visualization of Linked Data Supporting the Linked Data Life Cycle Using an Integrated Tool Stack Increasing the Financial Transparency of European Commission Project Funding Managing Multimodal and Multilingual Semantic Content Improving the Performance of Semantic Web Applications with SPARQL Query Caching Knowledge Engineering for Historians on the Example of the Catalogus Professorum Lipsiensis.

OntoWiki — Agile Knowledge Engineering and Semantic Web

Protege Ontology Library. Manchester OWL. Linked Data : Current Status. What is Linked Data?

Linked Data : Current Status

SPARQL 1.1 Protocol. 4.1 Security There are at least two possible sources of denial-of-service attacks against SPARQL protocol services.

SPARQL 1.1 Protocol

Read These Seven Books, and You’ll be a Better Writer. Donald Miller I used to play golf but I wasn’t very good.

Read These Seven Books, and You’ll be a Better Writer

I rented a DVD, though, that taught me a better way to swing, and after watching it a few times and spending an hour or so practicing, I knocked ten strokes off my game. Robot-writing increased AP’s earnings stories by tenfold. Since The Associated Press adopted automation technology to write its earnings reports, the news cooperative has generated 3,000 stories per quarter, ten times its previous output, according to a press release from Automated Insights, the company behind the automation.

Robot-writing increased AP’s earnings stories by tenfold

Those stories also contained “far fewer errors” than stories written by actual journalists. The Associated Press began publishing earnings reports using automation technology in July for companies including Hasbro Inc., Honeywell International Inc. and GE. Appended to those stories is a note that reads “This story was generated automatically by Automated Insights ( using data from Zacks Investment Research.

Full GE report: The stories include descriptions of each business and contain “forward-looking guidance provided by the companies,” according to the release. Hedge fund robots are crushing their human rivals. Synopsis The hedge fund robots are winning again.

Hedge fund robots are crushing their human rivals

In 2014, computer algorithm-led investing produced stellar returns, beating most human managers and recovering most of their losses from 2011, 2012 and 2013. Summary The biggest gains came at funds that practiced a “trend following” strategy. Those managers—who use computer models to bet on price movements in either direction and often perform best when clear patterns emerge over several months—gained an average of 19 percent, according to Newedge. Solar-Powered Robot Farmers Are Almost Ready to Start Working the Land.

So it looks like we're going to live to see the rise of the autonomous robot farmer after all.

Solar-Powered Robot Farmers Are Almost Ready to Start Working the Land

Or at least, the robot farmhand. There are plenty of promising agricultural automatons in the works, after all: We've got mechanized hydroponic factory farmers, self-propelling farmballs, and, now, solar-powered robots that collect data, pick weeds, and someday, harvest crops. That latest entrant is the Ladybird, the product of a $1 million research project helmed by the University of Sydney. Named as such because it sort of resembles a mechanical ladybug, it's covered by an arch of solar photovoltaics and is designed to both monitor and help cultivate vegetable crops.

It's laser-guided and self-driving, and for now, it's primary mission is gathering data about the farm it tirelessly drives across. "Ladybird focuses on broad acre agriculture and is solar-electric powered. The Rise of Automated Cars Will Kill Thousands of Jobs Beyond Driving. Nearly Half of U.S. Jobs Could Be Done by Computers, Study Says. Nearly Half of U.S.

Nearly Half of U.S. Jobs Could Be Done by Computers, Study Says

Jobs Could Be Done by Computers, Study Says If computers become as smart as humans, will they do our jobs better than we can? A recent study [pdf] out of Oxford University found that almost half of U.S. jobs are vulnerable to being taken over by computers as artificial intelligence continues to improve. The study, based on 702 detailed job listings, found that computers could already replace many workers in transportation and logistics, production labor and administrative support.

But computers, armed with the ability to find patterns in big data sets, are also increasingly qualified to perform "non-routine cognitive tasks. " "While computerization has been historically confined to routine tasks involving explicit rule-based activities, algorithms for big data are now rapidly entering domains reliant upon pattern recognition and can readily substitute for labor in a wide range of non-routine cognitive tasks," write study authors Carl Benedikt Frey and Michael Osborne.