Beyond Classical IR: Conceptual IR

Staff - Faculty of Informatics

Date: 20 December 2018 / 11:30 - 12:30

USI Lugano Campus, room A23, Red building (Via G. Buffi 13)


Karam Abdulahhad


GESIS (Leibniz Institute for the Social Sciences), Germany


Thursday, December 20, 2018


USI Lugano Campus, room A23, Red building (Via G. Buffi 13)






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.




Prof. Fabio Crestani