All posts by tomi.kauppinen 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! 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 Just contact us, and let us plan it.

List of accepted papers to LISC2011 announced

The following eight papers have been accepted to be presented at the 1st International Workshop on Linked Science (LISC2011), Oct 24th, 2011 in Bonn, Germany. We received 16 submissions by the deadline—thus  the acceptance rate was 50%. 

  • Linked Data for Network Science
    Paul Groth and Yolanda Gil. 
  • The knowledge-driven exploration of integrated biomedical knowledge sources facilitates the generation of new hypotheses
    Vinh Nguyen, Olivier Bodenreider, Todd Mining and Amit Sheth. 
  • Glottolog/Langdoc: Defining dialects, languages, and language families as collections of resources
    Sebastian Nordhoff and Harald Hammarström. 
  • Linking the Outcomes of Scientific Research: Requirements from the Perspective of Geosciences
    Stephan Mäs, Matthias Müller, Christin Henzen and Lars Bernard. 
  • Supporting Scientific Collaboration Through Class-Based Object Versioning
    Johnson Mwebaze, Danny Boxhoorn and Edwin Valentijn. 
  • Similarity between semantic description sets: addressing needs beyond data integration
    Todd Vision, Hilmar Lapp, Paula Mabee, Monte Westerfield and Judith Blake.
  • Interactively Mapping Data Sources into the Semantic Web
    Craig A. Knoblock, Pedro Szekely, Jose Luis Ambite, Shubham Gupta, Aman Goel, Maria Muslea, Kristina Lerman and Parag Mallick. 
  • Where did you hear that? Information and the Sources They Come From
    Jim Mccusker, Timothy Lebo, Li Ding, Cynthia Chang, Paulo Pinheiro Da Silva and Deborah L. Mcguinness. 

The detailed program will be announced soon at

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 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 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:


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 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


– 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 Science @ ISWC 2011, October 24th, 2011

The 1st International Workshop on Linked Science 2011 (LISC 2011) will be collocated with the International Semantic Web Conference (ISWC2011) in Bonn, Germany October 24th, 2011! 

In the LISC 2011 we will discuss and present results of new ways of publishing, sharing, linking, and analyzing scientific resources motivated by driving scientific requirements, as well as reasoning over the data to discover interesting new links  and scientific insights.

Check for more information and the call for papers @ .

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.