LOD2 Creating Knowledge out of Interlinked Data

LOD2 is a large-scale integrating project co-funded by the European Commission within the FP7 Information and Communication Technologies Work Programme (Grant Agreement No. 257943). Commencing in September 2010, this 4-year project comprises leading Linked Open Data technology researchers, companies, and service providers – 15 partners from across 11 European countries, plus one associated partner from Korea – and is coordinated by the AKSW research group at the University of Leipzig.

Over the past years the semantic web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has evolved from a practical research idea into a very promising candidate for addressing one of the biggest challenges in the area of intelligent information management: the exploitation of the Web as a platform for data and information integration in addition to document search. With partners among those who initiated and strongly supported the Linked Open Data initiative, LOD2 tackles these challenges by developing:

1. enterprise-ready tools and methodologies for exposing and managing very large amounts of structured information on the Data Web,
2. a testbed and bootstrap network of high-quality multi-domain, multi-lingual ontologies from sources such as Wikipedia and OpenStreetMap,
3. algorithms based on machine learning for automatically interlinking and fusing data from the Web,
4. standards and methods for reliably tracking provenance, ensuring privacy and data security as well as for assessing the quality of information,
5. adaptive tools for searching, browsing, and authoring of Linked Data.

The resulting tools, methods and data sets are integrated and syndicated with large-scale, existing applications, with the benefits showcased in the three application scenarios of media and publishing, corporate data intranets and eGovernment.

• Funding: FP7 ICT Work Programme, Grant Agreement No. 257943
• Duration: September 2010 – 2014 (4 years)
• Consortium: 15 partners in 11 European countries, one associated partner in Korea
• Coordination: AKSW research group, Universität Leipzig
• Scenarios: media & publishing, corporate data intranets, eGovernment

Project structure · Work packages · Deliverables · Consortium

The project produced an integrated LOD2 technology stack – a set of Linked Data tools that can be used together to publish, interlink, and consume structured data on the Web. The stack bundles established components such as OntoWiki, Silk, DL-Learner, LIMES, Sparallax and OpenLink Virtuoso, distributed as Debian packages and virtual machines.

Technology stack overview · Results · Publications

First release of the LOD2 Stack – the initial public release of the integrated stack, with installation instructions for the Debian packages and the virtual machine images.

PUBLINK Linked Data Starter Service call 2013 – the consultancy service that helped organisations take their first steps towards publishing Linked Open Data.

Big Data RDF store benchmarking experiences – results from benchmarking the triple stores used in the LOD2 knowledge store cluster.

All blog posts · LOD2 webinar series

Occasional notes on the machinery underneath – how processors, memory and the conventions around them actually behave.

• The Call Stack – what the hardware does on a call, why the stack grows down, and why measuring its worst case on a device is harder than it sounds.
• The Program Counter – the one register a processor cannot execute without, and what interrupts and resets really do to it.
• Read-Only Memory – mask ROM to flash, why flash cannot set a single bit on its own, and why the ROM in a microcontroller is almost always writable.

February 2021 archive · tagged memory, EEPROM, stack, call stack, control stack, run-time stack

The PUBLINK open call programme offered funded consultancy to public bodies, SMEs and research groups wanting to publish Linked Open Data. Results of the funded calls are documented in the 2010 results and the 2011 winners.

Contact the consortium · Imprint