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.
|Title of host publication||Multilingual Information Access Evaluation I. Text Retrieval Experiments|
|Subtitle of host publication||10th Workshop of the Cross-Language Evaluation Forum, CLEF 2009, Corfu, Greece, September 30 - October 2, 2009, Revised Selected Papers|
|Editors||Carol Peters, Giorgio Maria Di Nunzio, Mikko Kurimo, Thomas Mandl, Djamel Mostefa, Anselmo Peñas, Giovanna Roda|
|Place of Publication||Berlin, Heidelberg|
|Number of pages||11|
|Publication status||Published - 2009|
|Name||Lecture Notes in Computer Science|