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 statistical analysis.
Teachers of the tutorial are
Linked Data for eScience Services (LIFE) is a two-year project funded by the German Research Foundation, jointly carried out by the Semantic Interoperability Lab (MUSIL) at Institute for Geoinformatics (http://ifgi.uni-muenster.de) and the University Library (http://ulb.uni-muenster.de) at University of Münster.
The overall goal of LIFE is to facilitate sharing of research data and thus improve interdisciplinary collaboration in science and education. The approach addresses all kinds of resources, ranging from articles and books through maps to raw data. The Linked Data approach will be used as a basis for the university library’s eScience services to seamlessly integrate their offerings into both the scientific and the global information infrastructure. These eScience services will enable researchers and students to systematically navigate the dynamic and heterogeneous global network of research data, exploiting spatio-temporal information for discovery and creating views meeting their information needs. LIFE is a research activity in the Linked Open Data University of Münster (LODUM, http://lodum.de) initiative that fosters exchanging scientific and educational data as Linked Data.
The Institute for Geoinformatics is looking for highly motivated candidates to fill a PhD student position in the project. The position is fully funded for two years at the TVL salary scale (TVL-E 13, ~40k € p.a. gross). The candidate is expected to join the graduate school for geoinformatics.
- strong background in at least one of the following areas:
- semantic web technologies / linked data
- science 2.0 / open science
- geographic information science (geoinformatics)
- programming experience, especially in web development on an open source stack
- interest in research challenges in the area of semantic interoperability and data integration
- Master or Diploma in computer science, information science, geoinformatics, or a related field
- German language skills are an asset, but not required initially.
The Institute for Geoinformatics offers an attractive, international and English-speaking work environment. Applications should be sent to Prof. Dr. Werner Kuhn (firstname.lastname@example.org) in a single PDF file. Applications from women are encouraged and will be favored in case of equal qualification, competence and specific achievements. Preference will be given to disabled applicants in case of equivalent qualification.
The application process remains open until December 15, 2012 or until the position is filled.