Tag Archives: Linked Science

The Triangle of Sustainability Awarded

Triangle of Sustainability show is a way to interact with large amounts of Linked Spatiotemporal Data to support understanding of the ecological, social and economical dimensions of sustainable development.

The Triangle of Sustainability (in German “Dreieck der Nachhaltigkeit”) by  Thomas Bartoscheck and Tomi Kauppinen from the Institute for Geoinformatics at the University of Münster was  awarded with a Finalist Position and is competing for the first prize  in Wissenschaft interaktiv 2012, June 2–6, 2012, Lübeck, Germany.

The Triangle of Sustainability is an interactive show to explore observations about deforestation of rainforests and related phenomena such as road networks, political situation, and market prices of agricultural products on maps and timelines.  The Triangle thus connects three important aspects–ecological, economical and social–of sustainability. By doing this the Triangle serves as a show of what is achievable by  interconnecting different scientific assets via the Linked Science approach. The goal is to raise the awareness, and understanding of different factors of sustainability. The Triangle thus serves as an example of how the research field of Geoinformatics, and more generally Geographic Information Science can serve the society in these tasks.

The resulting information can be explored on three screens (see the figure above). The interaction is made extremely simple yet powerful, no additional tools are required for the participants. All the spatial and temporal information can be zoomed and panned simply by making gestures using hands.

The technological basis is built on the power of Linked Data techniques for interconnecting these very heterogenous data about different environmental and social phenomena. The data used by the show is the Linked Brazilian Amazon Rainforest published at LinkedScience.org.

Big Data Challenge

We announce a Data Challenge as a part of the Workshop on GIScience in the Big Data Age 2012 (GIBDA2012). The winner will be awarded a $250 price sponsored by 52North and will present at the workshop, in Columbus, Ohio, USA. September 18th.

Here is a description of the Data Challenge:

The website spatial.linkedscience.org/ contains a growing collection of metadata for proceedings of conferences on topics related to geographic information science. So far, it contains most of the metadata for the GIScience, COSIT, ACM GIS, and AGILE conference series. Within the GIBDA Data Challenge, we are looking for

  • innovative analyses of the data
  • interactive visualizations
  • approaches for cleaning the data up
  • pattern and topic mining
  • enrichment and interlinking with other datasets (e.g., from the Linked Data cloud)
  • insights into GIScience as research field
  • adding social roles and aspects

The raw data can be queried via SPARQL using the SPARQL endpoint  spatial.linkedscience.org/sparql. Submissions to the data challenge are to be submitted through EasyChair as a brief description of the entry, along with a link to the demo/analysis/dataset. Entries to the challenge will be evaluated by the program committee based on innovativeness and potential impact. The winner will be awarded a $250 price sponsored by 52North and will present at the workshop. Submissions due: 18. June 2012, see GIBDA2012 Workshop pages for more details.

Organizers of the Data Challenge


Tutorial on SPARQL Package for R

Tools are major enablers of Linked Science. One crucial aspect is how to access and analyze data, and especially how to get only that part of data which is of interest for a given research question.  Linked Data solves the access part, and SPARQL allows to query only a subset of the data. For statistical computing there are tools like R. As a solution to bridge the two communities, those of statistical computing and  semantic web, there is now a SPARQL Package for R, which enables to get data from Linked Data services to R for analysis. At LinkedScience.org you may now find a tutorial on SPARQL Package for R. By following it you can learn:

  1. how to access and query Linked Spatiotemporal Data of the  deforestation statistics related to the Brazilian Amazon Rainforest, and
  2. how to analyze it within R (which is a free software environment for statistical computing).

First course worldwide on Linked Science at the University of Muenster, Germany

First course worldwide on Linked Science will be held at the Institute for Geoinformatics at the University of Muenster, Germany during the winter semester 2011/2012. This Linked Science course is arranged as a seminar, and the title is “Spatiotemporal and Semantic Modeling for Linked Science” and it is lectured by Dr. Tomi Kauppinen.

The seminar teaches both basics and shows recent advancements of Linked Spatiotemporal Data and Linked Science. The seminar is combined of lectures and demo-sessions showing through examples how spatiotemporal information can be modeled, semantically described and published as Linked Data. The major emphasis is on scientific datasets.

In the course we will also discuss spatiotemporal and semantic reasoning techniques to enrich the data. Students will also  learn how the data can be connected with the help of the SPARQL package for R for statistical analysis, and how and which visualization techniques and tools are available for interacting with the data. Each student will choose a topic for the seminar to create and use Linked Scientific Data of some discipline (e.g.  life sciences, natural and living environment studies, chemistry, biology, crisis management, history and cultural heritage) within the University of Muenster.

The major emphasis is in disciplines where there are interesting spatiotemporal aspects. The results of these student works will be shown and discussed in the demo sessions. The course serves both newcomers in Linked Data techniques and advanced students already knowing the basics and wanting to learn the Linked Science approach. Students will learn theory, techniques, presentation and organizational skills in the seminar.

Spatial.LinkedScience.org opened!

During the last few days and weeks we (Krzysztof Janowicz, Carsten Keßler, Alexander Savelyev and Tomi Kauppinen) created a Linked Data set about the people, papers and proceedings  of the COSIT (Conference on Spatial Information Theory) series.

The result is now opened and can be interacted with at Spatial.LinkedScience.org! We look forward to maintain the portal as a community effort in order to serve back the community, i.e. the researchers of the Spatial Information and Geographic Information Science. 

Would other communities be interested in joining LinkedScience.org? Just contact us, and let us plan it.

How should a science schema look like?

Tomi Kauppinen and Alkyoni Baglatzi ran a breakout session at Science Online London 2011 with the question “Can we develop something like schema.org to encourage data sharing and reuse?”. This story combines the preparation of the session, presentation given at the session and results. Follow @LinkedScience to hear how the results gets implemented and published as a science schema. Presentation and results of this science schema breakout session now available at:


Linked Science Core vocabulary online

The Linked Science Core vocabulary is designed for describing a research setting and to interconnect it to other related things and components (researcher, data, hypothesis, etc.).

You may check LSC online at http://linkedscience.org/lsc/ns/. There will be a breakout session at the Science Online London 2011 (#solo11) to develop a schema or a vocabulary for science, and we will use LSC as a basis for stimulating the imagination for doing so.

We hope to use the results of the Science Online London to extend and improve LSC. Stay tuned and follow our twitter feed @LinkedScience—-or participate our breakout session at Science Online London to develop new ideas for describing and publishing scientific content online!

CFP: 1st International Workshop on Linked Science 2011 (LISC2011)

1st International Workshop on Linked Science 2011 (LISC2011)
Collocated with the 10th International Semantic Web Conference (ISWC2011)
October 24th, 2011
Bonn, Germany

Workshop URI: http://linkedscience.org/events/lisc2011


Scientific efforts are traditionally published only as articles, with an estimate of millions of publications worldwide per year; the growth rate of PubMed alone is now 1 paper per minute. The validation of scientific results requires reproducible methods, which can only be achieved if the same data, processes, and algorithms as those used in the original experiments were available. However, the problem is that although publications, methods and datasets are very related, they are not always openly accessible and interlinked. Even where data is discoverable, accessible and assessable, significant challenges remain in the reuse of the data, in particular facilitating the necessary correlation, integration and synthesis of data across levels of theory, techniques and disciplines. In the LISC 2011 (1st International Workshop on Linked Science) we will discuss and present results of new ways of publishing, sharing, linking, and analyzing such scientific resources motivated by driving scientific requirements, as well as reasoning over the data to discover interesting new links and scientific insights.

Making entities identifiable and referenceable using URIs augmented by semantic, scientifically relevant annotations greatly facilitates access and retrieval for data which used to be hardly accessible. This Linked Science approach, i.e., publishing, sharing and interlinking scientific resources and data, is of particular importance for scientific research, where sharing is crucial for facilitating reproducibility and collaboration within and across disciplines. This integrated process, however, has not been established yet. Bibliographic contents are still regarded as the main scientific product, and associated data, models and software are either not published at all, or published in separate places, often with no reference to the respective paper.

In the workshop we will discuss whether and how new emerging technologies (Linked Data, and semantic technologies more generally) can realize the vision of Linked Science. We see that this depends on their enabling capability throughout the research process, leading up to extended publications and data sharing environments. Our workshop aims to address challenges related to enabling the easy creation of data bundles—data, processes, tools, provenance and annotation—supporting both publication and reuse of the data. Secondly, we look for tools and methods for the easy correlation, integration and synthesis of shared data. This problem is often found in many disciplines (including astronomy, biology, geosciences, cultural heritage, earth, climate, environmental and ecological sciences and impacts etc.), as they need to span techniques, levels of theory, scales, and disciplines. With the advent of Linked Science, it is timely and crucial to address these identified research challenges through both practical and formal approaches.


We invite two kinds of submissions:
– Research papers. These should not exceed 15 pages in length.
– Position papers. Novel ideas, experiments, and application visions from multiple disciplines and viewpoints are a key ingredient of the workshop. We therefore strongly encourage the submission of position papers. Position papers should not exceed 5 pages in length.

Submissions should be formatted according to the Lecture Notes in Computer
Science guidelines for proceedings available at http://www.springer.com/computer/lncs?SGWID=0-164-7-72376-0. Papers should be submitted in PDF format. All submissions will be done electronically via the LISC2011 web submission system.

At least one author of each accepted paper must register for the workshop.
Information about registration will appear soon on the ISCW2011 Web pages.


In both categories, papers are expected in (but not restricted to) the following topics:

– Key research life cycle challenges in enabling linked science and proposed solution strategies
– Interrelationship of existing traditional solutions and new linked science solutions
– Formal representations of scientific data
– Ontologies for scientific information
– Reasoning mechanisms for linking scientific datasets
– Integration of quantitative and qualitative scientific information
– Ontology-based visualization of scientific data
– Semantic similarity in science applications
– Semantic integration of crowd sourced scientific data
– Connecting scientific publications with underlying research datasets
– Provenance, quality, privacy and trust of scientific information
– Enrichment of scientific data through linking and data integration
– Semantic driven data integration
– Support for data publishing for sharing and reuse
– Case studies on linked science, i.e., astronomy, biology, environmental and socio-economic impacts of global warming, statistics, environmental monitoring, cultural heritage, etc.
– Barriers to the acceptance of linked science solutions and strategies to address these
– Linked Data for
– dissemination and archiving of research results
– collaboration and research networks
– research assessment
– Applications for research that build on top of Linked Data
– Legal, ethical and economic aspects of Linked Data in science


We expect the workshop proceedings to be published as CEUR Workshop
Proceedings (see http://ceur-ws.org).


– Paper submission deadline: August 15
– Notification of acceptance or rejection: September 5
– Camera ready version due: September 16


– Tomi Kauppinen, University of Muenster, Germany
– Line C. Pouchard, Oak Ridge National Laboratory, USA


– Mathieu d’Aquin, Open University, UK
– Frank van Harmelen, Vrije Universiteit Amsterdam, The Netherlands
– Carsten Keßler, University of Muenster, Germany
– Kerstin Kleese-Van Dam, Pacific Northwest National Laboratory, USA
– Eric G. Stephan, Pacific Northwest National Laboratory, USA
– Jun Zhao, University of Oxford, UK


– Sören Auer, University of Leipzig, Germany
– V. Balaji, Princeton University and NOAA/GFDL, USA
– Luis Bermudez, Open Geospatial Consortium, USA
– Benno Blumenthal, Columbia University, USA
– Chris Bizer, Free University of Berlin, Germany
– Tim Clark, Harvard University, USA
– Philippe Cudre-Mauroux, University of Fribourg, Switzerland
– Anusuriya Devaraju, University of Münster, Germany
– Stefan Dietze, L3S Research Center, Germany
– Kai Eckert, Mannheim University Library, Germany
– Peter Fox, Rensselaer Polytechnic Institute, USA
– Auroop Ganguly, Oak Ridge National Laboratory and University of Tennessee, Knoxville, USA
– Damian Gessler, U. of Arizona, USA
– Paul Groth, VU University Amsterdam, The Netherlands
– John Harney, Oak Ridge National Laboratory, USA
– Laura Hollink, TU Delft, The Netherlands
– Maria Indrawan, Monash University, Australia
– Antoine Isaac, Europeana, The Netherlands
– Krzysztof Janowicz, Pennsylvania State University, USA
– Matt Jones, UC Santa-Barbara, USA
– Werner Kuhn, University of Münster, Germany
– Chris Lynnes, NASA, USA
– Deborah L. McGuinness, Rensselaer Polytechnic Institute, USA
– Jim Myers, Rensselaer Polytechnic Institute, USA
– Paulo Pinheiro da Silva, University of Texas El Paso, USA
– Martin Raubal, ETH Zürich, Switzerland
– Mark Schildhauer, UC Santa-Barbara, USA
– Anita de Waard, Elsevier Labs

Linked Open Science @ Executable Paper Grand Challenge

The following publication will be published in the The Executable Paper Grand Challenge at ICCS 2011 to explain ideas about Linked Open Science:

Tomi Kauppinen and Giovana Mira de Espindola. Linked Open Science—-Communicating, Sharing and Evaluating Data, Methods and Results for Executable Papers. The Executable Paper Grand Challenge, in proceedings of The International Conference on Computational Science (ICCS 2011). Elsevier Procedia Computer Science series, Singapore, June, 2011.

In short, the paper proposes an approach to solve challenges of an executable paper. It is a combination of four “silver bullets”: 1) publication of scientific data, metadata, results, and provenance information using Linked Data principles, 2) an open source environment for executing, validating and exploring research, 3) Cloud Computing for efficient and distributed computing, and 4) Creative Commons for the legal infrastructure.