Cambiar idioma
 Versión en castellano English version

  

Ponencias invitadas




Ricardo Baeza, Yahoo! Research Barcelona

Mining the Web 2.0 to Improve Search
There are several semantic sources that can be found in the Web that are either explicit, e.g. Wikipedia, or implicit, e.g. derived from Web usage data. Most of them are related to user generated content (UGC) or what is called today the Web 2.0. In this talk we show several applications of mining the wisdom of crowds behind UGC to improve search. We will show current applications on image search, find relations in the Wikipedia and exploiting query logs. Our final goal is to produce a virtuous data feedback circuit to leverage the Web itself.

Short bio: Born in Chile, studied in Chile & Canada, previously full professor at Univ. of Chile, and ICREA research professor at UPF in Barcelona. Co-author of Modern Information Retrieval (Addison-Wesley, 1999) among other books and publications. Member of the ACM, AMS, IEEE (Senior), SIAM and SCCC, as well as the Chilean Academy of Sciences. Awards from American Organization States, Institute of Engineers of Chile, and COMPAQ. Main hobby: applied geography.



Fabio Crestani, Faculty of Informatics, University of Lugano, Switzerland

From Linking Text to Linking Crimes: it is still Information Retrieval, but not as you know it
Information retrieval techniques have been used for long time to identify links between textual items, like for example for the automatic construction of hypertexts and electronic books. While interest in this research area has been steadily declining in recent years, some of the techniques developed in that context are proving very valuable in a number of new application areas. In this talk I will present some examples of current work at the University of Lugano. Among other things, I will show how automatically linking newswires from different sources can be used to determine the source timeliness and authoritativeness. Also, I will show how linking police criminal reports can be used to prioritise criminal suspects in a police investigation.

Short bio: Fabio Crestani is a Full Professor at the Faculty of Informatics of the University of Lugano in Switzerland since 2007. Before that he was Professor of Computer Sciences of the University of Strathclyde (UK) and at the University of Padova (Italy). In between he held research fellowships at the Rutherford Appleton Laboratory (UK), the International Computer Science Institute in Berkeley (USA), and the University of Glasgow (UK). He is an internationally recognised researcher in Information Retrieval, Text Mining and Digital Libraries having published over one hundred refereed publications on both theoretical and experimental aspects. Finally, since 2008 he is the editor-in-chief of Information Processing and Management, published by Elsevier.

2010. Universidad Autónoma de Madrid, Escuela Politécnica Superior - Information Retrieval Group