OKE2016 - Open Knowledge Extraction Challenge @ESWC2016

ESWC-16 Open Knowledge Extraction (OKE) Challenge
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ESWC2016 http://2016.eswc-conferences.org/
May 29th, 2016 - June 2nd​, 2016
Anissaras, Crete, Greece
FULL DETAILS of the CHALLENGE at 
https://github.com/anuzzolese/oke-challenge-2016
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The OKE challenge, launched as first edition at last year Extended 
Semantic Web Conference, ESWC2015, has the ambition to provide a 
reference framework for research on Knowledge Extraction from text for 
the Semantic Web by re-defining a number of tasks (typically from 
information and knowledge extraction), taking into account specific SW 
requirements.
The OKE challenge defines three tasks, each one having a separate dataset:
1 - Entity Recognition, Linking and Typing for Knowledge Base population
2 - Class Induction and entity typing for Vocabulary and Knowledge Base 
enrichment
3 - Web-scale Knowledge Extraction by Exploiting Structured Annotation.

Task 1 consists of identifying Entities in a sentence and create an OWL 
individual representing it, link to a reference KB (DBpedia) when 
possible and assigning a type to such individual.

Task 2 consists in producing rdf:type statements, given definition 
texts. The participants will be given a dataset of sentences, each 
defining an entity (known a priori).

Task 3 will be based on one of the largest, publicly available 
collections of triples extracted from HTML pages (provided by the Web 
Data Commons project). Participants will use annotated Web pages as 
stimuli for training a Web-scale extraction system which is capable of 
extracting structured data from non-annotated pages.

Full details about the tasks and related data and material can be found at
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https://github.com/anuzzolese/oke-challenge-2016
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Important Dates

- Challenge papers submission deadline: Friday March 11th, 2016
- Challenge paper reviews due: Tuesday April 5th, 2016
- Notifications sent to participants: Friday April 8th, 2016
- Test data published: Friday April 8th, 2016
- Camera ready papers due: Sunday April 24th, 2016​


Participants must:

1. Submit a paper describing their system, via 
[EasyChair](https://easychair.org/conferences/?conf=oke2015), no later 
then **March 11th, 2016**. The paper should contain the details of the 
system, including why the system is innovative, how it uses Semantic 
Web, which features or functions the system provides, what design 
choices were made and what lessons were learned. The description should 
also summarise how participants have addressed the evaluation task(s). 
Papers must be submitted in PDF format, following the style of the 
Springer's Lecture Notes in Computer Science (LNCS) series 
(http://www.springer.com/computer/lncs/lncs+authors), and not exceeding 
12 pages in length.
2. For task 1 and 2 provide access to the application as webservice 
(specifications can be found at 
https://github.com/anuzzolese/oke-challenge-2016/blob/master/example_data/GERBIL_integration.md), 
with input/output provided in NIF format. The final evaluation  will be 
carried out via GERBIL (http://gerbil.aksw.org). The implementation of 
the evaluation for tasks 1-2 is already available on GERBIL (also 
accessible as open source code) as Web 
demo(http://gerbil.aksw.org/gerbil/config). Participants can 
autonomously test their system using GERBIL (selecting as Experiment 
Type either OKE Challenge 2015 - Task 1 or OKE Challenge 2015 - Task 2).
For task 3 participants will have to produce results in the specified 
format.
3. The URI for the final system (for task1-2) / results on test set (for 
task 3)  must be provided by **April 8th, 2016** when the organizers 
will evaluate the systems against the evaluation datasets, which will be 
publicly released after announcement of results.

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Organising Committee

- Andrea Giovanni Nuzzolese, STLab-CNR, Italy
- Valentina Presutti, STLab-CNR, Italy
- Anna Lisa Gentile, University of Mannheim, Germany
- Robert Meusel, University of Mannheim, Germany
- Heiko paulheim, University of Mannheim, Germany
- Aldo Gangemi, Université Paris 13, France

-- 
Anna Lisa Gentile
Postdoctoral Researcher
Data and Web Science Group
University of Mannheim
http://dws.informatik.uni-mannheim.de/en/people/researchers/annalisa/
email:annalisa@informatik.uni-mannheim.de
office: +49 621 181 2646
skype: anlige

Received on Monday, 18 January 2016 10:26:32 UTC