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Although LarKC is based in Europe, the project of building, and applying, web-scale reasoning is world wide. One of the most exciting things about living in a connected world, and a world of abundant, location independent computational resources, is that people anywhere in the world can do world class AI research, and develop applications based on that research. The recent, and very rapid, increase in internet bandwidth going into Africa means that one can now use Shazam to get impromptu karaoke lyrics for the Texas country-and-western playing in a hotel bar in Accra. It also means that previously isolated African researchers can make a full contribution to the advance of semantic technology.  In February, partially supported by the FP7 Active project, we had the opportunity to present LarKC, and the potential benefits of AI and human-computer collaboration, to students and researchers at the Ghana-India Kofi Annan Centre of Excellence in ICT in Ghana. Discussion following the talks was lively, with great local ideas for the application of AI in knowledge capture from small farmers, and resource allocation for rural health care. Video from some talks is being made available on VideoLectures.net, there was good coverage from the local media, and we look forward to building a collaboration with our new colleagues.

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An interesting peek in Microsoft’s kitchen (the Beijing labs, by the looks of it): Probase and ReadWriteWeb writeup on it. It’s a very large web-fed knowledge-base, including concept hierarchies (2.7 million concepts, 4.5 million subclass relations, 16 million instances). Including all major knowledge sources (Freebase, WordNet, Cyc, DBPedia, Yago, a.o.), with pretty well researched quality measures. Unfortunately, none of the data is Linked in any way, none of this available, let alone in some standard format.This is interestingly different from IBM’s Watson knowledge base. That is mostly filled with knowledge extracted from linguistic sources (although structured data does play a limited role). Probase seems to rely much more on structured knowledge sources.

Web of Data Interpreter (WoDI) is a recently launched spin-off company from the LarKC project, currently located in Innsbruck, Austria. The targeted development segment of WoDI is the implementation of intelligent tools and methods for accessing, reasoning and consuming linked data. The main areas of WoDI innovation are scalable reasoning with rules and streams of […]

The LarKC team is proud to announce that its tutorial “Scalable Integration and Processing of Linked Data” was accepted at this year’s International World Wide Web Conference 2011 (WWW’11) that will take place from March 28th to April 1st, 2011 in Hyderabad, India.
Abstract of the Tutorial
The goal of this tutorial is to introduce, motivate and […]

Based on the great success of LarKC’s Early Adopters Tutorials, the next workshop is targeted to drug development and discovery.
The LarKC Pharma Workshop will take place on April 19th and 20th 2011 in Stuttgart. The workshop builds on previous tutorials and is customized for drug development/discovery participants. Having completed this workshop, participants will have the […]

We are glad to announce that the LarKC Platform Release v2.0 is now available in our repository on SourceForge.
The redistributable package can be downloaded via the following URL:

http://sourceforge.net/projects/larkc/files/Release-2.0/larkc-release-2.0.zip/download (OS independent)

The source code belonging to this release can be checked out from SVN:

http://larkc.svn.sourceforge.net/viewvc/larkc/branches/Release_2.0_prototype/platform/

A complete manual for both users and developers can be found at:

http://sourceforge.net/projects/larkc/files/Release-2.0/LarKC_Platform_Manual_2.0.pdf

If […]

LarKC announces a new release of mpiJava (1.2.6) – a Message-Passing Interface (MPI) library, allowing a Java application to efficiently run on a distributed, parallel, and high-performance computer architecture. First introduced in the HPJava project and developed by

  • Pervasive Technology Labs, Indiana University,
  • Syracuse University, and
  • CSM, University of Portsmouth,

mpiJava@SourceForge (http://sourceforge.net/projects/mpijava/) is now managed and maintained by the High Performance Computing Center Stuttgart (HLRS) in the framework of LarKC.

The library is easy to deploy and use within the application code, in particular for plug-ins. Among the new features are true multi-platforming (thanks to CMake support configuration procedure), very high performance characteristics (achieved by efficient utilisation of underlying native MPI-C implementation), and support of the most famous MPI realisations (MPICH, Open MPI, and MS-MPI).

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LarKC announces a new release of mpiJava (1.2.6) – a Message-Passing Interface (MPI) library, allowing a Java application to efficiently run on a distributed, parallel, and high-performance computer architecture. First introduced in the HPJava project and developed by

Pervasive Technology Labs, Indiana University,
Syracuse University, and
CSM, University of Portsmouth,

mpiJava@SourceForge (http://sourceforge.net/projects/mpijava/) is now managed and maintained by the […]

The 2010 LarKC PhD symposium was held in Beijing in Nov 14th, 2010. More than 40 participants attended this symposium (Most of them were participants from The 4th LarKC Ealy Adopters Tutorial).

The Proceeding of the symposium can be downloaded here.

The LarKC PhD symposium is an annual event that the Large Knowledge Collider (LarKC) Consortium organized. The main objectives of this symposium series is to provide a communication platform for young researchers (especially PhD students) on their recent progresses in the EU FP-7 LarKC project, Web-scale reasoning and the Semantic Web in general.

The seminar is open and free to everyone who is interested.The 2010 LarKC PhD Symposium is the 2nd symposium in this series. The 1st symposium is jointly held with STI PhD Seminar 2009 in Berlin. The participants of that events all agree that they learned a lot from each other and that is one of the most important reason why we have this event this year.During year 2 of the LarKC project, the consortium has many progresses on Web-scale reasoning and search, ranging from new selection and reasoning strategies to real-world use cases. Many of them are from PhD students and young researchers in this consortium. We are very proud to have these researchers report their recent results in the 2nd LarKC PhD symposium.

In addition, we are very pleased to see that there are external plug-in contributions outside the LarKC consortium in the form of close collaboration with the LarKC members.The speakers for the 2nd LarKC PhD symposium are from China, Germany, Italy, the Netherlands, UK, etc. We are please to have several talks which cover a wide range on Semantic Web, Machine Learning, and AI in general.

The topics focus but not limited to: Natural Language Interfaces to Ontologies, segmentation strategies for Web-scale data, Machine learning meets the Semantic Web, selection strategies, parallel and Contrastive reasoning for the Semantic Web, and Semantic Web-enabled Recommender System.Some of the speakers are still in their PhD program, hence we are very pleased to have several senior members from and outside the LarKC consortium to make comments and suggestions to their future research in the area of Web search and reasoning. More importantly, the speakers will learn from each other during their communications in the symposium.

by Yi Zeng
The 4th LarKC Early Adopters Tutorial took place in Beijing, China on Nov 13th, 2010.
LarKC 4th Early Adopters Tutorial

Approximately 90 participants attended the tutorial. 2 introductions, 4 hands on sessions as well as use cases demos from Urban computing has been given.The tutorial is in bi-lingual (English and Chinese), with most of the talks translated real-time to the audience.

The participants agreed that LarKC is easy to use as a plugable platform for Web-scale reasoning.The materials of the 4th LarKC Early Adopters Tutorial can be downloaded from the LarKC sourceforge and the following addresses: