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The Faculty of Informatics is pleased to announce a seminar given by Karam Abdulahhad



Beyond Classical IR: Conceptual IR
Speaker: Karam Abdulahhad
GESIS (Leibniz Institute for the Social Sciences), Germany
Date: Thursday, December 20, 2018
Place: USI Lugano Campus, room A23, Red building (Via G. Buffi 13)
Time: 11:30-12:30



Natural languages exhibit in general phenomena such as hyponymy/hypernymy, synonymy, heteronymy, etc. These linguistic phenomena lead to some problems in the IR field, e.g. term mismatch. In this talk, I show how these phenomena or their related problems make the direct word-based document-query comparison insufficient, which is the case in most classical IR models. More precisely, I talk about using concepts instead of words to represent the content of documents and queries. Consequently, we do matching in a more informative space rather than the word space, where the effects of some linguistic phenomena are limited. I mainly talk about two problems that appear when moving to the conceptual space, namely the document length deformation and inter-concept relations quantification.



Karam Abdulahhad is currently a post-doctoral at GESIS (Leibniz-Institute for the Social Sciences) in Cologne. He has a PhD degree in computer sciences from University Grenoble-Alpes in 2014. During his PhD, he proposed an IR model using propositional logic and lattice theory. Before PhD, he received a Master degree from University Grenoble-Alpes in 2010 and an Engineering degree from Damascus University in 2006. His research interests include: IR theory, logic-based IR, Quantum IR, conceptual and semantic IR, machine learning, and text mining. Recently, He is interested in studying the profitability of the modern word-embedding technics in the IR field. He taught in several universities. He also participated in developing several tools.


Host: Prof. Fabio Crestani


Faculty of Informatics

Faculty of Informatics
Università della Svizzera italiana
Via Giuseppe Buffi 13
CH-6904 Lugano
Tel.: +41 (0)58 666 46 90
Fax: +41 (0)58 666 45 36
Email: decanato.inf@usi.ch
Web: www.inf.usi.ch
Twitter: @USI_INF


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