[DL] CfP LD4IE 2015 at ISWC 2015

Claudia d'Amato claudia.damato at uniba.it
Mon May 18 13:22:36 CEST 2015

Apologies for multiple posting.


LD4IE 2015
The 3rd international Workshop on Linked Data for Information Extraction
also hosting the 2nd Challenge on Linked Data for Information Extraction

in conjunction with The 14th International Semantic Web Conference (ISWC 2015)
Bethlehem - Pennsylvania, USA October 11-15, 2015

Workshop website: http://oak.dcs.shef.ac.uk/ld4ie2015/
Twitter: @LD4IE2015 #LD4IE #LD4IE2015
Facebook page: Ld4ie2015 (at https://www.facebook.com/Ld4ie2014)

*************** Call for Papers ***************

This workshop focuses on the exploitation of Linked Data for Web Scale Information Extraction (IE), 
which concerns extracting structured knowledge from unstructured/semi-structured documents on the 
Web. One of the major bottlenecks for the current state of the art in IE is the availability of 
learning materials (e.g., seed data, training corpora), which, typically are manually created and 
are expensive to build and maintain.

Linked Data (LD) defines best practices for exposing, sharing, and connecting data, information, and 
knowledge on the Semantic Web using uniform means such as URIs and RDF. It has so far been created a 
gigantic knowledge source of Linked Open Data (LOD), which constitutes a mine of learning materials 
for IE. However, the massive quantity requires efficient learning algorithms and the not guaranteed 
quality of data requires robust methods to handle redundancy and noise.

LD4IE intends to gather researchers and practitioners to address multiple challenges arising from 
the usage of LD as learning material for IE tasks, focusing on (i) modelling user defined extraction 
tasks using LD; (ii) gathering learning materials from LD assuring quality (training data selection, 
cleaning, feature selection etc.); (iii) robust learning algorithms for handling LD; (iv) publishing 
IE results to the LOD cloud.

[1] http://webdatacommons.org/structureddata/

*************** Research Topics ***************

Topics of interest include, but are not limited to:

* Modelling Extraction Tasks
**** modelling extraction tasks (e.g. defining IE templates using LD ontologies)
**** extracting and building knowledge patterns based on LD
**** user friendly approaches for querying LD

* Information Extraction
**** selecting relevant portions of LD as training data
**** selecting relevant knowledge resources from LD
**** IE methods robust to noise in LD as training data
**** Information Extractions tasks/applications exploiting LD (Wrapper induction, Table 
interpretation, IE from unstructured data, Named Entity Recognition, Relation Extraction…)
**** linking extracted information to existing LD datasets

* Linked Data for Learning
**** assessing the quality of LD data for training
**** select optimal subset of LD to seed learning
**** managing heterogeneity, incompleteness, noise, and uncertainty of LD
**** scalable learning methods using LD
**** pattern extraction from LD

* Special interest: IE using Web Data Commons corpus
**** any IE tasks using (part of) the Web Data Commons corpus [1]

[1] http://webdatacommons.org/structureddata/

*********** Challenge *************************

The challenge guidelines will be announced before the end of May 2015 at 

******************** Awards *******************

Best research paper(s) from LD4IE will be invited to submit an extended version to the International 
Journal on Semantic Web and Information Systems (IJSWIS) http://www.ijswis.org/

*************** Important Dates ***************

	Abstract submission deadline:			June 24, 2015
	Research Paper submission deadline:		July 1, 2015
	Challenge Paper submission deadline:		July 15, 2015 (to be confirmed)
	Acceptance Notification:			July 31, 2015
  	Camera-ready versions:				August 7, 2015
  	Workshop date:					to be announced (11/12 October 2015)

*************** Submission ********************

We accept the following formats of submissions:

Research Papers
Full paper with a maximum of 12 pages including references.
Short paper with a maximum of 6 pages including references.

Challenge Papers
Paper with a maximum of 5 pages including references giving a short description of envisioned 
solution for the problem(s) of the Challenge.

All submissions must be written in English and must be formatted according to the information for 
LNCS Authors (http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0.). Please submit your 
contributions electronically in PDF format to EasyChair at 
When submitting your paper, select the appropriate topic between:
* Research - long paper	
* Research - short paper
* IE Challenge paper

Accepted papers will be published online via CEUR-WS.

*************** Workshop Chairs ***************

Anna Lisa Gentile, University of Sheffield, UK
Claudia d'Amato, University of Bari, Italy
Ziqi Zhang, University of Sheffield, UK
Heiko Paulheim, University of Mannheim, Germany

********* IE Challenge Organization ***********
Robert Meusel, University of Mannheim, Germany
Heiko Paulheim, University of Mannheim, Germany
Ziqi Zhang, University of Sheffield, UK

-------------- next part --------------
A non-text attachment was scrubbed...
Name: claudia_damato.vcf
Type: text/x-vcard
Size: 331 bytes
Desc: not available
URL: <https://mailman.informatik.uni-bremen.de/pipermail/dl/attachments/20150518/b1dd0f1a/attachment.vcf>

More information about the dl mailing list