2nd Call for Contributions - 1st i-KNOW ALOA Challenge on Getting Answers through Linked Open Data

Call for Contributions: 1st i-KNOW ALOA Challenge on Getting Answers 
through Linked Open Data
==============================================================

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-contributions-aloa-challenge
- http://42-data.org/questions/groups/560

Motivation
--------

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
--------------

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
----

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
----------------------------

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
-------------------------------------

The submission system for ALOA @ i-KNOW 2014 is available at 
https://www.easychair.org/conferences/?conf=aloaiknow2014

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
-------------

     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:
---------------

     Michael Granitzer, University of Passau, Michael Granitzer 
michael.granitzer@uni-passau.de
     Patrick Hφfler, Know-Center Graz, phoefler@know-center.at
     Florian Stegmaier, University of Passau, 
florian.stegmaier@uni-passau.de

Received on Wednesday, 16 April 2014 11:20:50 UTC