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What and Who

On Information Retrieval Models and DB+IR

Thomas Roelleke
Queen Mary University, London, UK
Colloquium Lecture
AG 1, AG 2, AG 3, AG 4, AG 5, SWS  
AG Audience
English

Date, Time and Location

Tuesday, 31 October 2006
16:00
90 Minutes
E1 4
024
Saarbrücken

Abstract

Information Retrieval (IR) models come in two main forms:
vector-based and probabilistic. Each form is an expressive framework in
which many models can be expressed. What is the common ground, and how are
models related? I will report on results how to express major IR concepts
(term frequencies, IR models, authorities, evaluation) in a general matrix
framework (Roelleke/etal:IPM:2006), and how to relate probabilistic models
(binary independent retrieval, language modelling, Poisson) in a parallel
derivation where event spaces and background models are explicit
(Roelleke/Wang:SIGIR:2006).

We investigated the underlying general concepts since we wish to support
the high-level engineering of customised IR models in our DB+IR framework
HySpirit, a probabilistic deductive DB+IR system (Fuhr/Roelleke:TOIS:1997,
Fuhr/etal:SIGIR:1998, Roelleke/etal:TREC:2005, www.apriorie.co.uk), and I
will demonstrate some HySpirit features.

Contact

Gerhard Weikum
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Petra Schaaf, 10/25/2006 12:05
Petra Schaaf, 10/24/2006 14:15 -- Created document.