20 Jan 2017

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Mega-City One: Smart City

"A smart city is an urban development vision to integrate multiple information and communication technology (ICT) and Internet of Things (IoT) solutions in a secure fashion to manage a city's assets - the city's assets include, but are not limited to, local departments' information systems, schools, libraries, transportation systems, hospitals, power plants, water supply networks, waste management, law enforcement, and other community services…ICT allows city officials to interact directly with the community and the city infrastructure and to monitor what is happening in the city, how the city is evolving, and how to enable a better quality of life. Through ...

20 Jan 2017 10:56am GMT

14 Jan 2017

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A river of research, not news

I already hate the phrase "fake news". We have better words to describe lies, disinformation, propaganda and slander, so lets just use those. While the phrase "fake news" might

14 Jan 2017 12:47pm GMT

09 Jan 2017

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PRESS RELEASE: “HOBBIT so far.” is now available

The latest release informs about the conferences our team attended in 2016 as well as about the published blogposts. Furthermore it gives a short analysis about the survey by which we are able to verify requirements of our benchmarks and the new HOBBIT plattform. Last but not least the release gives a short outlook to our plans in 2017 including the founding of the HOBBIT association. Have a look at the whole press release on the HOBBIT website .

09 Jan 2017 1:22pm GMT

01 Jan 2017

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Read Write Web — Q4 Summary — 2016

Summary An eventful 2016 draws to a close, steady progress has been made on standards, implementations and apps, for reading and writing to the web. Some press coverage is starting to emerge, with pieces on a decentralized web and putting data back in the hands of owners . Also published was a nice review and predictions for trends in 2017 on the (semantic) web. Linked Data Notifications has become a Candidate Recommendation, and expected to become a full recommendation next year, as the working group has been extended slightly. Data Best Practices on the Web is also now a Proposed ...

01 Jan 2017 6:51am GMT

29 Dec 2016

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Moving to Kolab from Google mail (“G-Suite”)

I had a seven year old google 'business' account (now called 'G-Suite', previously Google Apps, I think) from back when it was free. Danbri put me onto it, and it was brilliant because you can use your own domain with it. It's been very useful, but I've been thinking of moving to a paid-for service for a while.

29 Dec 2016 4:18pm GMT

23 Dec 2016

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A simple Raspberry Pi-based picture frame using Flickr

I made this Raspberry Pi picture frame - initially with a screen - as a present for my parents for their wedding anniversary. After user testing, I realised that what they really wanted was a tiny version that they could plug into their TV, so I recently made a Pi Zero version to do that. It uses a Raspberry Pi 3 or Pi Zero with full-screen Chromium. I've used Flickr as a backend: I made a new account and used their handy upload-by-email function (which you can set to make uploads private) so that all members of the family can send pictures to it. I initially assumed ...

23 Dec 2016 2:13pm GMT

LIRC on a Raspberry Pi for a silver Apple TV remote

The idea here is to control a full-screen chromium webpage via a simple remote control (I'm using it for full-screen TV-like prototypes). It's very straightforward really, but I couldn't find the right kind of summary of

23 Dec 2016 11:54am GMT

Twitter for ESP 8266

I've been using the

23 Dec 2016 9:51am GMT

22 Dec 2016

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A modern neural network in 11 lines of Python

And a great learning tool for understanding neural nets.

22 Dec 2016 12:52pm GMT

16 Dec 2016

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4th Big Data Europe Plenary at Leipzig University

The meeting, hosted by our partner InfAI e. V. , took place on the 14th to the 15th of December at the University of Leipzig . The 29 attendees in total, including 15 partners, discussed and reviewed the progress of all work packages in 2016 and planned the activities and workshops taking place in the next six months. On the second day we talked about several societal challenge pilots in the fields of AgroKnow, transport, security etc. It's been the last plenary for this year and we thank everybody for their work in 2016. Big Data Europa and our partners ...

16 Dec 2016 1:33pm GMT

15 Dec 2016

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University of Edinburgh joins DCMI as Institutional Member<

2016-12-15, The DCMI Governing Board is pleased to announce that University of Edinburgh has joined DCMI as an Institutional Member. The University of Edinburgh is a world-leading centre of academic excellence with the mission to create, disseminate and curate knowledge. As a great civic university, Edinburgh especially values its intellectual and economic relationship with the Scottish community that forms its base and provides the foundation from which it will continue to look to the widest international horizons, enriching both itself and Scotland. Alasdair MacDonald with the Edinburgh University Library will represent the University on the DCMI Governing Board. For information ...

15 Dec 2016 11:59pm GMT

09 Dec 2016

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SANSA 0.1 (Semantic Analytics Stack) Released

Dear all, The Smart Data Analytics group /AKSW are very happy to announce SANSA 0.1 - the initial release of the Scalable Semantic Analytics Stack. SANSA combines distributed computing and semantic technologies in order to allow powerful machine learning, inference and querying capabilities for large knowledge graphs. Website: http://sansa-stack.net GitHub: https://github.com/SANSA-Stack Download: http://sansa-stack.net/downloads-usage/ ChangeLog: https://github.com/SANSA-Stack/SANSA-Stack/releases You can find the FAQ and usage examples at http://sansa-stack.net/faq/ . The following features are currently supported by SANSA: Support for reading and writing RDF files in N-Triples format Support for reading OWL files in various standard formats Querying and partitioning based on Sparqlify Support ...

09 Dec 2016 2:41pm GMT

AKSW wins award for Best Resources Paper at ISWC 2016 in Japan

Our paper, " LODStats: The Data Web Census Dataset ", won the award for Best Resources Paper at the recent conference in Kobe/Japan, which was the premier international forum for Semantic Web and Linked Data Community. The paper presents the LODStats dataset, which provides a comprehensive picture of the current state of a significant part of the Data Web. Congrats to Ivan Ermilov , Jens Lehmann , Michael Martin and Sören Auer . Please find the complete list of winners here .

09 Dec 2016 2:05pm GMT

30 Nov 2016

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PhD Proposal: Ankur Padia, Dealing with Dubious Facts in Knowledge Graphs

Tweet Dissertation Proposal Dealing with Dubious Facts in Knowledge Graphs Ankur Padia 1:00-3:00pm Wednesday, 30 November 2016, ITE 325b, UMBC Knowledge graphs are structured representations of facts where nodes are real-world entities or events and edges are the associations among the pair of entities. Knowledge graphs can be constructed using automatic or manual techniques. Manual techniques construct high quality knowledge graphs but are expensive, time consuming and not scalable. Hence, automatic information extraction techniques are used to create scalable knowledge graphs but the extracted information can be of poor quality due to the presence of dubious facts. An extracted fact ...

30 Nov 2016 2:25am GMT

26 Nov 2016

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AKSW Colloquium, 28.11.2016, NED using PBOH + Large-Scale Learning of Relation-Extraction Rules.

In the upcoming Colloquium, November the 28th at 3 PM, two papers will be presented: Probabilistic Bag-Of-Hyperlinks Model for Entity Linking Diego Moussallem will discuss the paper "Probabilistic Bag-Of-Hyperlinks Model for Entity Linking" by Octavian-Eugen Ganea et. al. which was accepted at WWW 2016. Abstract : Many fundamental problems in natural language processing rely on determining what entities appear in a given text. Commonly referenced as entity linking, this step is a fundamental component of many NLP tasks such as text understanding, automatic summarization, semantic search or machine translation. Name ambiguity, word polysemy, context dependencies and a heavy-tailed distribution of entities contribute to ...

26 Nov 2016 11:30am GMT

21 Nov 2016

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Leveraging KBpedia Aspects To Generate Training Sets Automatically

In previous articles I have covered multiple ways to create training corpuses for unsupervised learning and positive and negative training sets for supervised learning 1 , 2 , 3 using Cognonto and KBpedia. Different structures inherent to a knowledge graph like KBpedia can lead to quite different corpuses and sets. Each of these corpuses or sets may yield different predictive powers depending on the task at hand. So far we have covered two ways to leverage the KBpedia Knowledge Graph to automatically create positive and negative training corpuses: Using the links that exist between each KBpedia reference concept and their ...

21 Nov 2016 11:14am GMT