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Pourquoi utiliser le Web de données?

Source: Semantic Web world for you Il y a quelque jours j’ai eu le plaisir, et la chance, de participer à la série de webinaires organisés par l’AIMS. L’objectif que je m’étais fixé pour ma présentation (en Français) intitulée “Clarifier le sens de vos données publiques avec le Web de données” était de démontrer l’avantage […]

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Toekomst Kijken/Looking into the Future

Last Wednesday, Frank van Harmelen appeared on the Dutch science TV program “Labyrint”, where he interviews George Dyson, Luc Steels and François Pachet about their ideas on the future of Computers. Toekomst kijken bij Labyrint TV op 5 december VPRO 20.50 Ned 1 met Frank van Harmelen projectleider #COMMITnl. Over Alan #Turing. — COMMIT (@COMMIT_nl) […]

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YASGUI: Web-based SPARQL client with bells ‘n wistles

Source: Data2Semantics A few months ago Laurens Rietveld was looking for a query interface from which he could easily query any other SPARQL endpoint. But he couldn’t find any that fit my requirements: Work on all endpoints conforming to the SPARQL protocol (not just the CORS enabled ones) Nice / easy to use interface Cross-platform […]

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Behind the scenes of a Linked Data tutorial

Source: 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 […]

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RDF and Graph benchmarking project started: LDBC

This 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 […]

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Update: Complexity, Learning and Semantics

Source: 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 […]

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Update: TabLinker & UnTabLinker

Source: 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 […]

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Update: Machine Learning and Linked Data

Source: 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 […]

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Linkitup: Lightweight Data Enrichment

Source: 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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Update: Provenance Reconstruction

Source: Data2Semantics Work package 5 of Data2Semantics focuses on the reconstruction of provenance information. Provenance is a hot topic in many domains, at it is believed that accurate provenance information can benefit measures of trust and quality. In science, this is certainly true. Provenance information in the form of citations is a centuries old practice. […]

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