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


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