17.02.2012 - LOD at Energy Related Information Systems – an interview with Jon Weers and Florian Bauer NREL and REEEP co-operate using LOD principles and technologies to exchange and combine information & data on the two energy related information systems: OpenEI and reegle.info since months now! Martin Kaltenböck from LOD2 have had the chance to interview representatives from both institutions: Jon Weers and Florian Bauer. Question: What is the strategic approach of … Continue reading... read
Welcome
Welcome
15.02.2012 - Open Data and Public Sector: applying Austrian experience in Czech Republic Availability of public sector information and transparency of public sector have been discussed in the Czech Republic for some time now. Although public sector organisations provide various datasets to the public they are often difficult to find and due to the lack of data formats standardisation attempts to reuse these datasets in useful applications may … Continue reading... read
09.02.2012 - LOD2 Webinar Series: SILK This webinar in the course of the LOD2 webinar series will present use cases and live demos of the Free University of Berlin’ SILK. The Silk Link Discovery Framework is a tool for discovering relationships between data items within different Linked Data sources. The declarative Silk Link Specification Language (Silk-LSL) allows the user to specify … 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.
