ALOA 2014 - 1st i-KNOW ALOA Challenge on Getting Answers through Linked Open Data

1st i-KNOW ALOA Challenge on Getting Answers through Linked Open Data
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14th International Conference on Knowledge Technologies and Data-driven Business
16-19 September 2014, Graz, Austria
http://www.i-know.at/
Details: http://i-know.tugraz.at/i-science/call-for-contrib...
Motivation
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Linked Data demonstrated an enormous quantitative growth in recent years. By having several hundred billion triples it has become one of the largest interconnected knowledge bases of the world. However, it is not necessarily the quantity, but the quality that matters.
Given the size of the database, we aim to answer the following questions with the i-KNOW ALOA Challenge:
- What new insights can we discover through using Linked Data?
- What answers are contained in the Linked Open Data cloud?
- For which disciplines are those answers relevant?
Aims & Challenge
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The 1st ALOA Challenge aims for contributions showing the value of Linked Open Data. In particular we are looking for three kinds of contributions:
1. Short research papers demonstrating the added value of Linked Open Data in analytical processes and/or in decision making
2. Data sets generated from Open Data source like the European Union Open Data Portal (https://open-data.europa.eu/en/data/), EuroStats or from extracting facts out of research publications. The data sets should show interesting insights, which could be hardly obtained without Open Data. Data Sets should be prepared in a tabular form and published as RDF Data Cube using tools we provide.
3. SPARQL Queries using Linked Open Data Endpoints like DBPedia (https://open-data.europa.eu/en/data/) that show the value of the Linked Open Data Cloud. For those who do not fluently speak SPARQL we provide a set of tools to query and visualize Linked Open Data Endpoints (see Tools Section below).
Data Sets and SPARQL Queries need to be accompanied by a short research paper submitted to the conference explaining goals, intentions, user groups etc.
We encourage researchers, practitioners and industry to demonstrate the importance of Linked Data as valuable source in a knowledge driven society.
Tools
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In order to reach beyond the Semantic Web Community and to address also non-Semantic Web experts, we provide a set of online tools developed in the EU-funded CODE Project. These tools allow you to
1. Aggregate Data from various Linked Data Repositories ? the Linked Data Query Wizard
2. Visualise the aggregated Data in order to identify potentially interesting patterns ? the Linked Data Visualisation Wizard
3. Publish (statistical) findings as RDF Data Cubes to provide an unambiguous source of the raw data of your findings to the community. Using the 42-data Data Extractor you can extract tables from research papers or convert csv/xls files RDF Data Cubes to publish your findings.
4. Discuss open data resources, research papers and slides using the 42-data Question and Answering Portal. You can give your findings the last polishing and present it to the community.
For all tools video tutorials will be provided.
Of course you can also use your own tool chain, which may include your own software and tools that are publicly available (for example Weka, Google Refine or Google Charts). We do not impose restrictions on the tools you want to use; it is the discovery that matters and that the discovery is made available as open data.
An Example of an Interesting Insight
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So what exactly are we looking for? One great example of the potential discoveries through using demographic data and visualization techniques has been shown by Hans Rosling in his famous TED Talk.
So does Linked Data empower us all to discover such amazing relationships?
It is up to you to proof this. Since it is a Discovery challenge, we do not restrict the kinds of discoveries. You can decide on the topic and find out new and amazing things.
Judgment of Contributions
Contributions will be judged on the interestingness of the identified knowledge and the methodological soundness of the approach. Judgment will be done on academic standards via a single-blind reviewing process by the i-KNOW Program Committee.
Submission, Presentation and the Discoverthon
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The submission system for ALOA -AT- i-KNOW 2014 is available at https://www.easychair.org/conferences/?conf=aloaik...
Research papers will be published as short paper in the i-KNOW conference proceedings and selected contributions will be invited to a special issue in the JuCS Journal (http://www.jucs.org/).
The papers will be presented in a special session at the i-KNOW conference on 16-19 September 2014, Graz, Austria. Besides the paper presentation, we will organize a half-day Disocverthon where all participants get to gather to use their tools (or the tools provided by us) to deepen their discoveries. We aim to generate new ideas on how to use Linked Open Data and to raise new questions that should be answered by the Global Giant Graph.
i-KNOW is well known for their stimulating atmosphere and high-quality keynotes. So we look forward to your presentations and for synergies created with both conferences. See the webpages http://i-know.tugraz.at/.
Important Dates
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10.03.2014 ? Tool release; detailed instructions at http://42-data.org/questions/groups/560 (more information is also available at http://code-research.eu/results)
05.05.2014 ? Submission of short papers showing your discoveries and methodology
02.06.2014 ? Notification of Acceptance
27.06.2014 ? Submission of Camera Ready Papers
16.09.2014 ? Presentation of Results including the on-site Discoverthon
Organizing Chairs:
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Michael Granitzer, University of Passau, Michael Granitzer michael.granitzer-AT-uni-passau.de
Patrick Höfler, Know-Center Graz, phoefler-AT-know-center.at
Florian Stegmaier, University of Passau, florian.stegmaier-AT-uni-passau.de