4th Workshop on Linked Science 2014— Making Sense Out of Data (LISC2014)

When: October 19, 2014 (Full-day)
Where: Riva del Garda, Trentino, Italy
Collocated with the 13th International Semantic Web Conference (ISWC2014).

Latest news

Workshop URI:
Hashtag: #LISC2014
Feed: @LinkedScience


9.15 – 9.30: Opening and introduction

9.30 – 10.30: Keynote: Harith Alani (Open University)

Making more sense out of social data [slideshare]

10:30 – 11:00 Coffee break

11:00 – 12:20: Paper presentation session I: Making sense out of scholarly data

11:00 – 11:20 Hajar Ghaem Sigarchian, Ben De Meester, Tom De Nies, Ruben Verborgh, Wesley De Neve, Erik Mannens and Rik Van de Walle. EPUB3 for Integrated and Customizable Representation of a Scientific Publication and its Associated Resources

11:20 – 11:40 Angelo Di Iorio, Silvio Peroni, Fabio Vitali and Jacopo Zingoni. Semantic lenses to bring digital and semantic publishing together [slides]

11:40 – 12:00 Francesco Osborne, Silvio Peroni and Enrico Motta. Clustering Citation Distributions for Semantic Categorization and Citation Prediction [slides]

12:00 – 12:20 Olga Giraldo, Alexander Garcia and Oscar Corcho. SMART Protocols: SeMAntic RepresenTation for Experimental Protocols [ppt]

12:30 – 14:00 Lunch

14:00 – 15:30 Paper presentation session II: Modelling Scientific Data

14:00 – 14:20 Laleh Kazemzadeh, Maulik Kamdar, Oya Beyan, Stefan Decker and Frank Barry. LinkedPPI: Enabling Intuitive, Integrative Protein-Protein Interaction Discovery [slides]

14:20 – 14:40 Jodi Schneider, Paolo Ciccarese, Tim Clark and Richard D. Boyce. Using the Micropublications ontology and the Open Annotation Data Model to represent evidence within a drug-drug interaction knowledge base [slides]

14:40 – 15:00 Simon Jupp, James Malone and Alasdair J. G. Gray. Capturing Provenance for a Linkset of Convenience [slides]

15:00 – 15:20 Evan Patton and Deborah McGuinness. Connecting Science Data Using Semantics and Information Extraction [slides]

15:20 – 16:00 coffee break

16:00 – 17:30 Co-writing session: how can linked science techniques help with ‘sense making out of (scientific) data’ 2+45 minutes

  • 1st 45 minutes: produce linked science matrix in breakout groups, correlating sense-making challenges and technologies used to address these challenges

  • 2nd 45 minutes: merging matrices into consensus view and/or paper ideas/blog post, by identifying common challenges, technology bridges and/or gaps


Traditionally scientific dissemination has been relying heavily on publications and presentations. The findings reported in these articles are often backed by large amounts of diverse data produced by complex experiments, computer simulations, and observations of physical phenomena. Although publications, methods and datasets are often related, due to this avalanche of data it remains extremely hard to correlate, reuse and leverage scientific data. Semantic Web technologies provide a promising means for publishing, sharing, and interlinking data to facilitate data reuse and the necessary correlation, integration, and synthesis of data across levels of theory, techniques and disciplines. However, even when these data become discoverable and accessible, significant challenges remain in making intelligent understandings of these data and scientific discoveries that we anticipated.

Our past three series (LISC2011, LISC2012 and LISC2013) have seen many novel ideas of using Semantic Web technologies for integrating scientific data (for example about real experiments or from simulations), or enabling reproducibility of research via online tools and Linked Data. The theme for LISC2014 is “Making Sense out of Data Through Linked Science”. Here we focus on new ways of discovering interesting patterns from scientific data, which could lead to research validation or identification of new hypotheses and acceleration of the scientific research cycle. We encourage both new results through making use of semantic reasoning or making innovative combination of existing technologies (such as visualization, data mining, machine learning, and natural language processing) with SW technologies to enable better understanding of data. One goal is to create both an incentive for scientists to consider the Linked Science approach for their scientific data management and an incentive for technologists from different disciplines to work together towards the vision of powering science with technologies.

Topics of Interest

Topics for submissions include, but are not limited to:

● Data profiling and quality profiling of Linked Science Data
● Pattern discovery
● Semantic query generation
● (Semi-)Automatic hypothesis generation
● Augmented human reasoning
● Interactive semantic systems
● Active discovery
● Methodology for explorative empirical research on linked data
● Citation generation
● Reasoning mechanisms for linking scientific datasets
● Integration of quantitative and qualitative scientific information
● Novel visualization of scientific data
● Scientific Information Retrieval
● Linked Data-based scientific experiments
● Integration of experimental data using Semantic Web
● Linked Citizen Science
● Formal representations of scientific data
● Ontologies for scientific information
● Semantic similarity in science applications
● Semantic integration of crowd sourced scientific data
● Provenance, quality, privacy and trust of scientific information
● Support for data publishing for sharing and reuse
● Sharing of experimental setups for replication and reproducibility studies
● Case studies on linked science, i.e., astronomy, biology, environmental and socio- economic impacts of global warming, statistics, environmental monitoring, cultural heritage, etc.


We invite two kinds of submissions:
– Research papers. These should not exceed 12 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 4 pages in length.

We also offer a special track on “Intelligent Use of the EBI RDF Platform”. Officially launched in October 2013, the EBI RDF Platform provides SPARQL access to a suite of EMBL-EBI resources, covering data on genes and gene expression, proteins (with Swiss Institute of Bioinformatics), pathways, samples, biomodels and molecules with drug-like properties. As a world-leading bioinformatics research organization, the launch of EBI RDF Platforms marks a significant milestone in the adoption of SW technologies in the science domain. In this special track we are looking for innovative ideas which describe focused, use case driven applications and which use at least one of the EBI RDF services ( Submissions to this track should not exceed 4 pages in length and should make it clear:
– Which bits of the EBI RDF and any other data or technology were used
– The benefit of the submission to the end user who should be someone working in the life sciences, such as bench scientists, data scientists or bioinformaticians

The research papers can include optional tutorial materials that explain scientific studies that were made possible by Linked Data technologies. Accepted papers will be published at CEUR workshop series and supplementary tutorials will be published online at and linked to the according workshop paper.

Submissions should be formatted according to the Lecture Notes in Computer Science guidelines for proceedings available at and submitted to Papers should be submitted in PDF format. The optional tutorial materials are submitted as a zip (preferably WordPress friendly html including all figures).

At least one author of each accepted paper must register for the workshop. All workshop participants have to register for the main conference, ISWC2014, as well.

Important Dates

– submission date: 7 July, 2014, 14th July, 23:59 Hawaii time
– author notifications: July 30, 2014, August 7, 2014, 23:59 Hawaii time
– camera-ready: August 20, 2014, 23:59 Hawaii time
– LISC 2014: October 19, 2014

Workshop Format and Length

LISC2014 will be a mixture of paper and demo presentations and break-out sessions and organized as a half day workshop.

Workshop Chairs

– Jun Zhao, Lancaster University
– Marieke van Erp, VU University Amsterdam
– Carsten Keßler, Hunter College, City University of New York
– Tomi Kauppinen, University of Bremen and Aalto University School of Science
– Jacco van Ossenbruggen, CWI
– Willem Robert van Hage, SynerScope B.V.

Programme Committee

* Mathieu d’Aquin, The Open University, UK
* Boyan Brodaric, Natural Resources Canada[i]
* Arne Bröring, ESRI Suisse, Zurich, Switzerland
* Aba-Sah Dadzie, University of Birmingham, UK
* Stefan Dietze, L3S Research Center, Hannover
* Antske Fokkens, VU University Amsterdam, the Netherlands
* Rinke Hoekstra, VU University Amsterdam, the Netherlands
* Krzysztof Janowicz, University of California, Santa Barbara, USA
* James Malone, EBI, UK
* Simon Jupp, EBI, UK
* Amrapali Zaveri, University of Leipzig, Germany
* Paolo Ciccarese, Harvard Medical School, US
* Alasdair Gray, Heriot-Watt University, UK
* Paul Groth, Vrije Universiteit, the Netherlands
* Heiko Paulheim, University of Mannheim, Germany
* Oscar Corcho, UPM, Spain
* Daniel Garijo, UPM, Spain
* Jeff Pan, University of Aberdeen, UK
* …