Jan - LOD2 speaks at Accelerate Low – Carbon Development Workshop in Abu Dhabi In the course of the World Energy Future Summit from 17. – 19.01. 2012 in Abu Dhabi, United Arab Emirates, the side event ‘Linking Open Data to Accelerate Low-Carbon Development – A workshop for decision makers in clean energy organisations’ took place on Wednesday the 18th of January 2012 in Masdar Institute at Masdar City … Continue reading... read
Welcome
Welcome
Jan - Advocats on transparency Often the concept of Linked Open Data is hard to understand for “ordinary people”. The innovative power and the technological potential is somethimes hidden behind nerdy experts diction. The Open Knowledge Foundation (OKFN) works day-by-day to get a bridge between these tech-talk and the interestes and motivation of the target groups which are intended to … Continue reading... read
Jan - LOD2 webinar series: OntoWiki for Linked Open Data (LOD) This webinar will introduce OntoWiki as a tool providing support for agile, distributed knowledge engineering scenarios. OntoWiki facilitates the visual presentation of a knowledge base as an information map, with different views on instance data. It enables intuitive authoring of semantic content, with an inline editing mode for editing RDF content, similar to WYSIWYG for … Continue reading... read
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 (and one associated partner from Korea) and is coordinated by the AKSW research group at the University of Leipzig.
Over the past 3 years, the semantic web activity has gained momentum with the widespread publishing of structured data as RDF. The Linked Data paradigm has therefore 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. To translate this initial success into a world-scale disruptive reality, encompassing the Web 2.0 world and enterprise data alike, the following research challenges need to be addressed: improve coherence and quality of data published on the Web, close the performance gap between relational and RDF data management, establish trust on the Linked Data Web and generally lower the entrance barrier for data publishers and users. With partners among those who initiated and strongly supported the Linked Open Data initiative, the LOD2 project aims at tackling these challenges by developing:
- enterprise-ready tools and methodologies for exposing and managing very large amounts of structured information on the Data Web,
- a testbed and bootstrap network of high-quality multi-domain, multi-lingual ontologies from sources such as Wikipedia and OpenStreetMap.
- algorithms based on machine learning for automatically interlinking and fusing data from the Web.
- standards and methods for reliably tracking provenance, ensuring privacy and data security as well as for assessing the quality of information.
- adaptive tools for searching, browsing, and authoring of Linked Data.
We will integrate and syndicate linked data with large-scale, existing applications and showcase the benefits in the three application scenarios of media and publishing, corporate data intranets and eGovernment. The resulting tools, methods and data sets have the potential to change the Web as we know it today.