Conférences invitées

In this talk I will present what we called Unified Mobile Search (UMS), an approach to using uncooperative distributed information retrieval in a mobile environment. I will present how this concept extends that of distributed IR and present our first approach related to target application selection for mobile devices. I will then expand on this idea toward a conversational assistant for context-aware distributed mobile search, providing a view on what we should expect coming to our mobile phones soon.

Presentation can be found at: [PDF]

Prof. Fabio Crestani

Fabio Crestani has been a Full Professor at the Faculty of Informatics of the Universita’ della Svizzera Italiana (USI) in Lugano, Switzerland, since 2007. Previously he was a Professor at the University of Strathclyde in Glasgow, UK. Prof Crestani is an internationally recognised researcher in Information Retrieval, Text Mining and Digital Libraries. In these areas he has published over two hundred refereed papers on both theoretical and experimental aspects. He has also been serving in the program committee of several conferences and in the editorial board of several journals. Finally, he was Editor-in-Chief of Information Processing and Management from 2008 to 2015.

A number of psychological disorders severely impact on modern society. For example, depression is considered by the World Health Organization as the largest generator of dysfunctions or disabilities worldwide. Despite the seriousness of these disorders, in many cases people do not receive treatment or receive late treatment. Language is a powerful indicator of personality traits, emotions and provides valuable clues about mental health. We can find distinctive psychological patterns in people not only by analyzing the topics they talk about but also by studying the way they use function words. In this talk, I will review some recent results regarding technologies and computational models proposed for early detection of signs of psychological disorders. Related to this, I will explain the main features of eRisk, a CLEF lab oriented to early risk prediction, which we have been organizing since 2017.

Presentation can be found at: [PREZI]

Dr. David E. Losada

Dr. David E. Losada is an Associate Professor in Computer Science & Artificial Intelligence at the University of Santiago de Compostela (Spain). He is currently the Director of the Master's Programme on Big Data Analytics. David E. Losada received his BS in Computer Science (with honors) in 1997, and his PhD in Computer Science (with honors) in 2001, both from the University of A Coruña (Spain). From 2001 to 2002, he was a lecturer in the San Pablo-CEU University (Spain) and, in 2003, he joined the Univ. of Santiago de Compostela as a senior research fellow ("Ramón y Cajal" R&D programme). His current research interests include a wide range of Information Retrieval (IR) and related areas such as: early risk detection, text mining, IR evaluation, IR probabilistic models, summarization, novelty detection, and sentence retrieval. Losada is an active member of the IR community and he regularly serves in the Programme Committee of prestigious international conferences such as SIGIR or ECIR. In 2005, he was the Conference Chair and Programme Committee chair of ECIR, which was celebrated in Santiago de Compostela. In 2010, he was one of the founding members of the Spanish Society on Information Retrieval and he was the PC chair of the 1st Spanish Conference on Information Retrieval. He has also led several R&D projects and contracts in the area of search technologies. In 2011, Losada was recognized with an ACM senior member award. David started the organization of eRisk in 2017. eRisk is a CLEF lab that promotes the development of effective and efficient solutions for early risk prediction on the Internet.

Les données de la recherche forment un matériau d'une rare richesse pour notre communauté. Les publications sont des textes structurés et interconnectés via les références bibliographiques qui étayent leurs rhétoriques. La paternité des productions a trait à des individus regroupés, parfois même hiérarchisés, au sein de collectifs de co-signataires qui se reconfigurent au fil du temps. La nature de la contribution de chacun tend désormais à être explicitée. Chaque affiliation est ancrée sur un territoire, le contenu des recherches l'est parfois aussi. L'impact des savoirs produits se matérialise explicitement via les citations et implicitement par les éponymes et autres évocations d'écoles de pensée. La délimitation des disciplines et le front de recherche — séparant le connu de l'inconnu — sont en perpétuelle évolution. Tous ces savoirs circulent dans la sphère académique, certains atteignent le grand public qui les relaie sur les réseaux sociaux et dans la presse, alimentant des altmetrics qui attestent de cette percolation science–société.
Cet exposé présentera une variété de tâches de recherche interrogeant ce matériau pour éclairer la genèse et l'évolution des mondes sociaux et des savoirs en sciences. Il s'agit de travaux interdisciplinaires à la croisée de l'informatique, de la scientométrie (désignant l'étude quantitative de la science et de l'innovation) et des sciences humaines et sociales. Je souhaite transmettre mon enthousiasme pour ces problématiques et promouvoir les thèmes du workshop Bibliometric-enhanced Information Retrieval (BIR) que je co-anime dans le cadre d'ECIR.

Les supports sont disponibles sur : [PDF]

Dr. Guillaume Cabanac

Guillaume Cabanac est maître de conférences habilité à diriger des recherches (HDR) en informatique à l'Université de Toulouse, membre de l'Institut de Recherche en Informatique de Toulouse (IRIT UMR 5505). Ses travaux interdisciplinaires se positionnent à la croisée de la recherche d'information et de la scientométrie — désignant l'étude quantitative de la science et de l'innovation. Il s'agit notamment de questionner les textes scientifiques et les réseaux sous-jacents (lexique, références, auteurs, affiliations, etc.) pour faire émerger des connaissances inédites et révéler les resorts de la création et la diffusion des savoirs scientifiques. Il siège au Conseil national des universités (CNU 27 informatique) et au Conseil scientifique de l'Institut des sciences humaines et sociales (InSHS) du Comité national du CNRS. Il est co-président du workshop annuel Bibliometric-enhanced Information Retrieval (BIR@ECIR) et fait partie des comités de rédaction de la revue Scientometrics et du Journal of the Association for Information Science and Technology (JASIST).