posted by user: echarton || 5663 views || tracked by 8 users: [display]

WoLE 2013 : 2nd International Workshop on Web of Linked Entities (WoLE2013)


When May 13, 2013 - May 13, 2013
Where Rio de Janeiro
Abstract Registration Due Feb 18, 2013
Submission Deadline Feb 25, 2013
Notification Due Mar 13, 2013
Final Version Due Mar 27, 2013
Categories    linkeddata   semantic web   entity linking   natural language

Call For Papers

In conjunction with the 22nd International World Wide Web Conference (WWW2013), Rio de Janeiro, 13 May 2013

The explosive growth in the amount of data created and shared on the “Web of Data” is now firmly established. However, the majority of the available Web content is still unstructured or semi-structured. As a general trend, unstructured data seems to be growing faster than structured data. According to a 2011 IDC study, unstructured data will account for 90 percent of all data created in the next decade. As the main goal of the Web of Data is to stimulate the emergence of new dedicated applications giving the machines ability to process information, there is a strong need to extract as far as possible structured data from unstructured content available on the web. Furthermore, structured data sources provide entity to entity interconnections, resulting in a Web of Linked Entities spanning structured and unstructured data. According to this, there is also a strong emergent need to study how to associate non structured content (like textual documents) and structured content (like RDF triples) with information retrieval, extraction, integration and exploration existing techniques. The WoLE workshop series envisions a Web of Linked Entities (WoLE), which transparently connects the World Wide Web (WWW) and the Giant Global Graph (GGG) using methods from Information Retrieval (IR), Natural Language Processing (NLP) and Database Systems (DB) research communities. The previous edition of WoLE workshop have shown that different methods involved in specific research tasks of those communities (like co-reference detection in NLP or information extraction in IR) can provide different ways to improve the web of Linked Entities content and its relation with unstructured documents. According to this, the primary goal of WoLE is to confront propositions from IR, NLP and DB research communities describing how their specific methods can improve quality of the Web data, structure its documents and help to explore its content.

OBJECTIVES AND TOPICS (but are not limited to):

* Text and web mining
* Pattern and semantic analysis of natural language, reading the web, learning by reading
* Large-scale information extraction
* Usage mining
* Entity resolution and automatic discovery of entities
* Frequent pattern analysis of entities and/or relationships
* Entity linking, named entity disambiguation, cross-document co-reference resolution
* Ontology representation of natural language text
* Analysis of ontology models for natural language text
* Learning and refinement of ontologies
* Natural language taxonomies modeled to Semantic Web ontologies
* Disambiguation with the support of knowledge bases
* Multilingual information extraction
* Use cases of entity recognition for Linked Data applications
* Relationship extraction, slot filling
* Impact of entity linking on information retrieval, semantic search, entity oriented search
* Semantic relatedness and similarity using entities and relations


We invite submissions of full papers (max. 8 pages) and short papers (max. 4 pages). All submissions will be reviewed by at least three program committee members, and will be assessed based on their novelty, technical quality, potential impact, and clarity of writing.
The workshop proceedings will be published through the ACM Digital Library. Please, submit in PDF format to: Submissions must:
- be written in English;
- contain author names, affiliations, and email addresses;
- use the ACM SIG Proceedings template with the font size no smaller than 9pt (;
- be in PDF (make sure that the PDF can be viewed on any platform);
- be formatted for the US Letter size;
It is authors’ responsibility to ensure that their submission adhere strictly to the required format. Submissions that do not comply with the above guidelines will be rejected without review.

Pablo N. Mendes, OKFN, Germany;
Giuseppe Rizzo, EURECOM, France;
Eric Charton, CRIM, Centre de Recherche Informatique de Montréal, Canada.


* Alan Akbik (Technische Universität Berlin)
* Krisztian Balog (Norwegian University of Science and Tech., Norway)
* Charalampos Bratsas (Aristotle University of Thessaloniki)
* Razvan Bunescu (University of Ohio)
* Roi Blanco (Yahoo! Research Barcelona, Spain)
* Frédéric Béchet (Aix Marseille Université - LIF)
* Elena Cabrio (INRIA)
* Key-Sun Choi (KAIST, Korea)
* Philipp Cimiano (University of Bielefeld )
* Philippe Cudré-Mauroux (Fribourg University)
* Eric De La Clergerie (INRIA)
* Paolo Ferragina (University of Pisa)
* Frederico Freitas (CIn, UFPE, Brazil)
* Michel Gagnon (École Polytechnique de Montreal)
* Mark Greenwood (University of Sheffield)
* Daniel Hladky (Ontos AG)
* Jin-Dong Kim (Database Center for Life Science, Japan)
* Alexander Kotov (Emory University)
* Ulf Leser (Humboldt-Universität zu Berlin)
* Gerard DeMelo (UC Berkeley)
* Ariel Fuxman (Microsoft Research, USA)
* Xianpei Han (Chinese Academy of Sciences, China)
* Gerhard Heyer (University of Leipzig)
* Guy Lapalme (RALI-DIRO, Université de Montréal)
* Yunjia Li (University of Southampton)
* Philippe Langlais (Université de Montréal)
* Edgar Meij (ISLA, University of Amsterdam)
* Marie-Jean Meurs (Concordia University, Canada)
* Rada Mihalcea (University of North Texas)
* Meena Nagarajan (IBM Research Almaden)
* Ajay Nagesh (IIT Bombay)
* Wolfgang Nejdl (L3S Research Center)
* Axel-C. Ngonga Ngomo (University of Leipzig, Germany)
* Pierre Nugues (Lund University)
* Simone Ponzetto (Università di Roma "La Sapienza", Italy)
* Jeff Pound (University of Waterloo)
* Harald Sack (Hasso-Plattner-Institut, Universität Potsdam)
* Felix Sasaki (DFKI, Germany)
* Sebastian Schaffert (Salzburg Research)
* Sean Siqueira (UNIRIO, Brazil)
* Damires Souza (UFPB, Brazil)
* Veselin Stoyanov (Johns Hopkins University)
* Vojtěch Svátek (University of Economics, Prague)
* Christopher Thomas (UMIACS Center, Univ. of Maryland, College Park)
* Krishnaprasad Thirunarayan (Wright State University)
* Nicolas Torzec (Yahoo! Labs, USA)
* Marieke van Erp (VU University)
* Renata Vieira (PUC-RS, Brazil)
* Renata Wasserman (USP, Brazil)
* Gerhard Weikum (Max-Planck Institute for Informatics)
* Feiyu Xu (DFKI LT, Germany)

Related Resources

ICCS 2023   28th International Conference on Conceptual Structures
SNLP 2023   4th International Conference on Semantic & Natural Language Processing
SeWeBMeDA 2023   SeWeBMeDA 2023 : 6th International workshop on Semantic Web solutions for large-scale biomedical data analytics
IJCSITY 2023   International Journal of Computational Science and Information Technology
IJWesT 2023   International Journal of Web & Semantic Technology
WiMoNe 2023   15th International Conference on Wireless & Mobile Networks
IJU 2023   International Journal of Ubiquitous Computing
SEMANTiCS 2023   19th International Conference on Semantic Systems
AAISS 2023   Special Issue on Advances in Artificial Intelligent Systems for the Scholarly Domain
CSIP 2023   10th International Conference on Signal Processing