[Sigkm-l] Final CfP: Workshop on Knowledge Extraction and Exploitation from semi-Structured Online Sources (KEESOS 2011)

[Alejandro Bellogin Kouki]

[Apologies if you receive this more than once]

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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

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

-- 
  Alejandro Bellogin Kouki
  http://rincon.uam.es/dir?cw=435275268554687