14th October 2010

Location: Tech Gate Vienna Donau City Strasse, floor 9,
Seminar duration 09.00-12.30
Workshop duration 14.00-16.00

Programme

Doctoral Seminar
09.00-10.00 Dr. Michal Laclavik and Dr. Martin Seleng,
Institute of Informatics, Slovak Academy of Sciences
(15 minutes for questions)

Title: Ontea: Pattern based information extraction and semantic annotation

10.00-10.30 Parvaz Mahdabi,
PhD student at the Information Retrieval Group at the Faculty of Informatics of the University of Lugano, in Switzerland.
(10 minutes for questions)

Title: "Experiments on automatic query generation for prior art search"

Abstract
In this report we aim at identifying discriminative terms in different sections of a query patent which are able to distinguish relevant patents from non-relevant patents. To this end we investigate the term distribution of words occurring in different sections of the query patent and compare them with the rest of the collection using language modeling estimation techniques. We experiment with term weighting based on the KL-divergence between the query patent and the collection and also with parsimonious language model estimation. Both of these techniques promote words that are common in the query patent and rare in the collection. Experiments show the effectiveness of generated queries with BM25 retrieval model on CLEF-IP 2010 dataset.

10.30.-10.45 Coffee

10.45-11.45 Prof. Gerhard Budin,
Zentrum für Translationswissenschaft, University of Vienna, Austria
(15 minutes for questions)

Title: TBA

11.45-12.00 Coffee

12.00-12.30 Thomas Kern,
Master Student at Vienna University of Technology
(10 minutes for questions)

Title: “Feature Selection for Patent Categorization”

12.30-14.00 Lunch break

Workshop for PhD students & Master Students
14.00-14. 30 Workshop for PhD student & Master Student
Dr. Veronika Stefanov (IRF) will give an introductory talk
Title: “The benefit to visualize research project by collaboration”

14.30-14.50 Coffee

15.00-16.00 Discussions (Brain storming) “How to integrate our PhD project into one system”