Appel: ESWC 2014, Call for Challenge, Semantic Publishing

[Thierry Hamon]

Date: Tue,  3 Dec 2013 09:39:17 +0100 (CET)
From: speroni at cs.unibo.it
Message-Id: <20131203083937.F044EDDAAB at vina.cines.fr>
X-url: http://challenges.2014.eswc-conferences.org/SemPub


** apologies for cross-posting **

==== Call for Challenge: Semantic Publishing ====

Challenge Website: http://challenges.2014.eswc-conferences.org/SemPub
Call Web page: http://2014.eswc-conferences.org/important-dates/call-SemPub


MOTIVATION AND OBJECTIVES
Scholarly publishing is increasingly enabling a new wave of applications
that better support researchers in disseminating, exploiting and
evaluating their results. The potential of publishing scientific papers
enriched with semantic information is huge and raises interesting and
challenging issues. Semantic Web technologies play a central role in
this context, as they can help publishers to make scientific results
available in an open format the whole research community can benefit
from.
The Semantic Publishing Challenge 2014 is intended to be the first in a
series of events at ESWC for producing and exploiting semantic
publishing data. The main focus this year is on extracting information
and using this information to assess the quality of scientific
productions.
Linked open datasets about scientific production exist - e.g. DBLP - but
they usually cover basic bibliographic information, which is not
sufficient to assess quality. Quality-related information, such as the
number of journal articles that cite a given publication, or the number
of times a workshop has been run by the same chairs and received many
submissions, or the actual function of a citation are often hidden and
not yet available as LOD. The main goal of the Challenge is to build
high-quality LOD that contains such information.
Moving off this year's outcomes, we plan to investigate the final
publication and exploitation side in the next editions.

TARGET AUDIENCE
The Challenge is open to everyone from industry and academia.

TASKS
We ask challengers to automatically annotate a set of multi-format and
multi-source input documents and to produce a Linked Open Dataset that
fully describes these documents, their context, and relevant parts of
their content. The evaluation will consist of evaluating a set of
queries against the produced dataset to assess its correctness and
completeness.
The input dataset will be split in two parts: a training/testing part
and an evaluation part, which will disclosed a few days before the
submission deadline. Participants will be asked to run their tool on the
evaluation dataset and to produce the final Linked Open Dataset.
Further details about the organization of the Challenge will be
provided. The Challenge will include two tasks:

Task 1: Extraction and assessment of workshop proceedings information
Participants are required to extract information from a set of HTML
tables of contents, partly including microformat and RDFa annotations
but not necessarily being valid HTML, of selected computer science
workshop proceedings published with the CEUR-WS.org open access
service. The extracted information is expected to answer queries about
the quality of these workshops, for instance by measuring their growth,
longevity, connection with other events, distribution of papers and
authors.

Task 2: Extraction and characterization of citations
Participants are required to extract information about the citations in
scientific journals and their relevance. Input documents are in XML JATS
and TaxPub, an official extension of JATS customized for taxonomic
treatments, and selected from the PubMedCentral Open Access Subset and
the Pensoft Biodiversity Data Journal and ZooKeys archive. The extracted
information is expected to be used for assessing the value of citations,
for instance by considering their position in the paper, their
co-location with other citations or their purpose.

EVALUATION
Participants will be requested to submit the LOD that their tool
produces from the evaluation dataset, as well as a paper that describes
their approach. They will also be given a set of queries in natural
language form and will be asked to translate those queries into a SPARQL
form that works on their LOD.
The results of the queries on the produced LOD will be compared with the
expected output, and precision and recall will be measured to identify
the best performing approach. Separately, the most original approach
will be assigned by the Program Committee.
Further details about the evaluation will be provided on the challenge
wiki.

FEEDBACK AND DISCUSSION
A discussion group is open for participants to ask questions and to
receive updates about the challenge (see link at bottom). Participants
are invited to subscribe to this group as soon as possible and to
communicate their intention to participate. They are also invited to use
this channel to discuss problems in the input dataset and to suggest
changes.

JUDGING AND PRIZES
After a first round of review, the Program Committee and the chairs will
select a number of submissions conforming to the challenge requirements
that will be invited to present their work. Submissions accepted for
presentation will receive constructive reviews from the Program
Committee, they will be included in the Springer LNCS post-proceedings
of ESWC, and they will have a presentation slot in a poster session
dedicated to the challenge. 

In addition, the winners will present their work in a special slot of
the main program of ESWC and will be invited to submit a revised and
extended paper to a dedicated Semantic Web Journal special issue.

Four winners will be selected. For each of the two tasks we will select:
* best performing tool, given to the paper which will get the highest
  score in the evaluation
* most original approach, selected by the Challenge Committee with the
  reviewing process

HOW TO PARTICIPATE
Participants are required to submit:
* Abstract: no more than 200 words.
* Description: It should explain the details of the automated annotation
  system, including why the system is innovative, how it uses Semantic
  Web technology, what features or functions the system provides, what
  design choices were made and what lessons were learned. The
  description should also summarize how participants have addressed the
  evaluation tasks. An outlook towards how the data could be consumed is
  appreciated but not strictly required. 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 5 pages in length.
* The Linked Open Dataset produced by their tool on the evaluation
  dataset (as a file or as a URL, in Turtle or RDF/XML). 
* A set of SPARQL queries that work on that LOD and correspond to the
  natural language queries provided as input

Participants will also be asked to submit their tool (source and/or
binaries, or a link these can be downloaded from, or a web service URL)
for verification purposes.
Further submission instructions will be published on the challenge wiki.

All submissions should be provided via EasyChair
https://www.easychair.org/conferences/?conf=eswc2014-challenges

MAILING LIST
We invite the potential participants to subscribe to our mailing list in
order to be kept up to date with the latest news related to the
challenge. 

https://lists.sti2.org/mailman/listinfo/eswc2014-sempub-challenge

IMPORTANT DATES
* December 3, 2013: Publication of the full description of tasks, rules
  and queries; publication of the training/testing dataset
* January 15, 2014, 23:59 (Hawaii time): Deadline for making remarks to
  the training/testing dataset
* January 20, 2014: Publication of the final training/testing dataset
* March 7, 2014, 23:59 (Hawaii time): Abstract Submission
* March 11, 2014: Publication of the evaluation dataset
* March 14, 2014, 23:59 (Hawaii time): Submission
* April 9, 2014, 23:59 (Hawaii time): Notification of acceptance
* May 27-29, 2014: Challenge days


CHALLENGE CHAIRS
* Angelo Di Iorio (Department of Computer Science and Engineering,
  University of Bologna, IT)
* Christoph Lange (Enterprise Information Systems, University of Bonn /
  Fraunhofer IAIS, DE)

PROGRAM COMMITTEE
Soren Auer (University of Bonn / Fraunhofer IAIS, DE) (supervisor)
Sarven Capadisli (University of Leipzig, DE)
Alexander Constantin (University of Manchester, UK)
Alexander Garcia Castro (Florida State University, US)
Leyla Jael Garcia Castro (Bundeswehr University of Munich, DE)
Aidan Hogan (DERI Galway, IR)
Evangelos Milios (Dalhousie University, CA)
Lyubomir Penev (Pensoft Publishers, BG)
Robert Stevens (University of Manchester, UK)
Jun Zhao (Lancaster University, UK)

We are inviting further members.

ESWC CHALLENGE COORDINATOR
* Milan Stankovic (Sepage & Universite Paris-Sorbonne, FR)