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> 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

 

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

 

ORGANIZERS

 

* 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