Tutorial on Analyzing and Visualizing Linked Data with R 2013
The openly available R package SPARQL allows to directly connect to Linked Data and use the SPARQL querying language for selecting interesting part of data for analysis. Thus it enables to meet massive and rich data sets with the analytical power of the R language and environment.
This approach and tools contribute to Linked Science and Open Science movements to support the transparency of science and to conduct transdisciplinary research.
In this tutorial we will introduce the idea and concepts about Linked Science, and show via illustrative examples about how to practically query and analyze Linked Data from within R environment for visual and statistical analysis. Tutorial materials will be published online.
Teachers of the tutorial are
– Dr. Willem Robert van Hage (SynerScope B.V. / VU University Amsterdam)
– Dr. Rinke Hoekstra (VU University Amsterdam)
Willem Robert van Hage (PhD TNO / VU University Amsterdam, 2009) is lead data scientist at SynerScope B.V. and guest researcher at the VU University Amsterdam in the field of Information Integration on the Web. His main research topics in the past years are event modeling, geospatio-temporal semantics, ontology alignment, and ontology learning. He is principal investigator in the US ONRG funded COMBINE project on automating Web detective work, is work package leader in the EU FP7 project NewsReader on story line detection in news archives, and participates in the Dutch BSIK COMMIT Metis project on on automating Web detective work to do background checks on ships for maritime situational awareness. He is a co-organizer of the Detection, Representation, and Exploitation of Events in the Semantic Web workshop (DeRiVE 2011, 2012) and since 2006 he has been a co-organizer of the Ontology Alignment Evaluation Initiative (OAEI), a collaborative benchmarking effort for the evaluation of ontology alignment techniques. Together with Tomi Kauppinen and Rinke Hoekstra he organizes the Tutorial series on Linked Science (TOLSCI/LODR) about improving the speed, efficiency and transparency of Web research. He has led the development of the Simple Event Model (SEM), an ontology for the description of events. In the past years he has worked on the combination of Semantic Web reasoning (RDF(S), OWL) and geospatio-temporal reasoning, developing a spatiotemporal indexing package for the popular SWI-Prolog programming language, which has led to a best paper award at the EKAW 2010 conference, and Semantic Web packages for SPARQL querying and RDF storage for the R statistical programming language.
Rinke Hoekstra is researcher at the Knowledge Representation and Reasoning Group of VU University Amsterdam, and at the Leibniz Center for Law of the University of Amsterdam. His research concentrates on the application of web-based knowledge representation technology to research data and publications, government and legal information. He is the project leader of Data2Semantics, a collaboration with DANS, Elsevier and both universities of Amsterdam. Data2Semantics explores essential tools and infrastructure for enabling Linked Science. Rinke Hoekstra recently published all Dutch legislation as Linked Data, developed a Linked Data version of the AERS dataset of the FDA. He am the main author of the LKIF Core ontology of basic legal concepts, and one of the initial developers of the MetaLex XML format for legal sources. He was a member of the OWL Working Group that developed OWL 2.