CfP: Workshop on Knowledge Extraction and Exploitation from semi-Structured Online Sources (KEESOS 2011)

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                         Workshop on
          Knowledge Extraction and Exploitation from
         semi-Structured Online Sources (KEESOS 2011)

                organised in conjunction with

          XIV Conference of the Spanish Association
          for Artificial Intelligence (CAEPIA 2011)

          La Laguna, Tenerife, 7th-11th November 2011

  Paper submission deadline: 15th May 2011
  http://ir.ii.uam.es/keesos2011

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DESCRIPTION

The amount of unstructured or semi-structured online information in 
the current Web is growing exponentially. Providing structure to this 
information by (semi)automatic means has become an increasingly 
appealing goal along the last decade. Deriving structure greatly 
enhances the utility and value of this wealth of information, as it 
enables a much more efficient, effective, and flexible use of online 
information by different types of applications. Automatically handling 
unstructured information sources, and extracting structure from them, 
are challenging tasks that have been addressed by Artificial 
Intelligence research. The problem involves issues of knowledge 
extraction, knowledge representation and analysis, which need to be 
addressed in order to subsequently exploit the extracted structure in 
a wide range of applications.

In this workshop we aim to organise a multidisciplinary event for 
researchers and specialists from different areas of Artificial 
Intelligence, interested in the extraction and exploitation of 
semi-structured online information sources. It aims to be a forum for 
the presentation and discussion of shared problems and techniques from 
different disciplines, seeking to stir synergies and collaborations 
among participants, under the common frame of semi-structured 
information: how can it be obtained? From which online information 
sources? How can it be processed and elaborated? What can it be used 
for? How can it be applied? Which research areas and applications can 
make a better use of structured information?

We invite the submission of papers analysing techniques to build 
structured information from the Web, including -as of particular 
interest- social media sources, such as social networks, blogs, 
forums, wikis, and folksonomies. Papers analysing the practical 
aspects of the exploitation of automatically extracted knowledge are 
also welcome, in particular, those proposing and analysing specific 
methods, tools, and techniques from stable Artificial Intelligence 
disciplines.

TOPICS OF INTEREST

Topics of interest include, but are not limited to:
 * Structure extraction from online sources
   Methods, tools, and techniques to extract structured information 
   from the Web, involving aspects such as:
   - Automatic entity recognition
   - Attribute extraction
   - Recognition of semantic relations
   - Semantic annotation of Web texts
   - Automatic building and population of ontologies
   - Semantic enrichment in social networks
   - Semantic annotation of blogs, wikis, and forums
   - Semantic extension of folksonomies
 * Exploitation of semi-structured information
   Analysis, methods and experiences in the exploitation of 
   semi-structured information in areas including -but not limited to 
   the following:
   - Natural language processing
   - Machine learning
   - Automatic reasoning
   - Information retrieval
   - Recommender systems
   - User modelling and personalisation
   - Opinion mining and sentiment analysis
   - Multimedia: image and video semantic processing

IMPORTANT DATES

 * Paper submission deadline: 15th May
 * Notification: 30th June
 * Camera-ready version due: 31st July

ORGANISERS

 * Alejandro Bellogín, Universidad Autónoma de Madrid
 * Iván Cantador, Universidad Autónoma de Madrid
 * Pablo Castells, Universidad Autónoma de Madrid

PROGRAMME COMMITTEE

 * Rosa M. Carro, Universidad Autónoma de Madrid
 * Óscar Corcho, Universidad Politécnica de Madrid
 * José C. Cortizo, Universidad Europea de Madrid & BrainSINS
 * Fernando Díez, Universidad Autónoma de Madrid
 * Miriam Fernández, The Open University, United Kingdom
 * Juan M. Fernández-Luna, Universidad de Granada
 * Víctor Fresno, Universidad Nacional de Educación a Distancia
 * Enrique Frías, Teléfonica I+D
 * Raúl García-Castro, Universidad Politécnica de Madrid
 * Asunción Gómez-Pérez, Universidad Politécnica de Madrid
 * Julio Gonzalo, Universidad Nacional de Educación a Distancia
 * Jorge Gracia, Universidad Politécnica de Madrid
 * Juan F. Huete, Universidad de Granada
 * María T. Linaza, VICOMTech
 * David Losada, Universidad de Santiago de Compostela
 * Álvaro Ortigosa, Universidad Autónoma de Madrid
 * José J. Pazos Arias, Universidad de Vigo
 * Carlos Pedrinaci, The Open University, United Kingdom
 * Paolo Rosso, Universidad Politécnica de Valencia
 * Marc Torrens, Strands
 * José A. Troyano, Universidad de Sevilla
 * David Vallet, Universidad Autónoma de Madrid
 * Paulo Villegas, Teléfonica I+D
 * Hugo Zaragoza, Yahoo! Research

Received on Monday, 21 March 2011 11:47:50 UTC