=================================================== 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
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 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
* Paper submission deadline: 15th May * Notification: 30th June * Camera-ready version due: 31st July
* Alejandro Bellogín, Universidad Autónoma de Madrid * Iván Cantador, Universidad Autónoma de Madrid * Pablo Castells, Universidad Autónoma de Madrid
* 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
Alejandro Bellogin Kouki