Automatically generating queries for prior art search

Erik Graf, Leif Azzopardi, Keith van Rijsbergen

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

1 Citation (Scopus)

Abstract

This paper outlines our participation in CLEF-IP’s 2009 prior art search task. In the task’s initial year our focus lay on the automatic generation of effective queries. To this aim we conducted a preliminary analysis of the distribution of terms common to topics and their relevant documents, with respect to term frequency and document frequency. Based on the results of this analysis we applied two methods to extract queries. Finally we tested the effectiveness of the generated queries on two state of the art retrieval models.
Original languageEnglish
Title of host publicationMultilingual Information Access Evaluation I. Text Retrieval Experiments
Subtitle of host publication10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers
EditorsCarol Peters, Giorgio Maria Di Nunzio, Mikko Kurimo, Thomas Mandl, Djamel Mostefa, Anselmo Peñas, Giovanna Roda
Place of PublicationBerlin, Heidelberg
PublisherSpringer-Verlag
Pages480-490
Number of pages11
ISBN (Print)978-3-642-15753-0
DOIs
Publication statusPublished - 2009
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Verlag
Volume6241

Keywords

  • art retrieval

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