The mission of the LDBC can be compared to that of the Transaction Processing Council (TPC) that Jim Gray founded in the area of relational database technology (www.tpc.org). LDBC will create a body in which vendors of RDF and graph database systems agree on relevant benchmarks and benchmark practices; and will publish official benchmark results. […]
Read MoreSource: Semantic Web world for you Last week, on the afternoon of November 22, I co-organized a tutorial about Linked Data aimed at researchers from digital humanities. The objective was to give a basic introduction to the core principles and to do that in a very hands-on setting, so that everyone can get a concrete […]
Read MoreThe TUC will kick off its activities on November 19/20, 2012 at the first scheduled meeting in Barcelona. An online questionnaire is available at http://goo.gl/PwGtK for interested parties can make contributions on their experiences and needs for consideration in the LDBC benchmarks.
Read MoreThis week we received notification from the EU that the LDBC project has been granted. We think this is great news. The LDBC project (is a STREP and will run until Q2 2015. LDBC stands for Linked Data Benchmark Council, and linked data here of course comprises RDF data management, but also includes the emerging class of […]
Read More“Graphs are everywhere. Organizations of all sizes, from large enterprise to new startups, are embracing graph databases as the fastest way to query and store graph data. The EU has recognized this, and has funded the Linked Data Benchmark Council to promote and further the research in graph databases. We are grateful to the EU […]
Read MoreNovember 9, 2012, the EU confirmed the start of the new FP7 project called Linked Data Benchmark Council (LDBC). The main objective of LDBC is the development of benchmarks for the emerging field of RDF and graph data management systems, as well as to spur industry cooperation around such benchmarks. This new council of database […]
Read MoreSource: Data2Semantics Complexity metrics form the backbone of graph analysis. Centrality, betweenness, assortativity and scale freeness are just a handful of selections from a large and quickly growing literature. It seems that every purpose has its own notion of complexity. Can we find a way to tie these disparate notions together? Algorithmic statistics provide an […]
Read MoreSource: Data2Semantics TabLinker, introduced in an earlier post, is a spreadsheet to RDF converter. It takes Excel/CSV files as input, and produces enriched RDF graphs with cell contents, properties and annotations using the DataCube and Open Annotation vocabularies. TabLinker interprets spreadsheets based on hand-made markup using a small set of predefined styles (e.g. it needs to […]
Read MoreSource: Data2Semantics Part of work package 2 is developing machine learning techniques to automatically enrich linked data. The web of data has become so large, that maintaining it by hand is no longer possible. In contrast to existing techniques for learning for the semantic web, we aim at applying the techniques directly to the linked data. We use kernel […]
Read MoreSource: Data2Semantics Linkitup is a Web-based dashboard for enrichment of research output published via the Figshare.com repository service. For license terms, see below. Linkitup currently does two things: it takes metadata entered through Figshare.com and tries to find equivalent terms, categories, persons or entities on the Linked Data cloud and several Web 2.0 services. it […]
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