Geographic and textual data fusion in Forostar
http://data.open.ac.uk/oro/28212
is a Article , Academic article

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Creator
Dataset Open Research Online
Publisher Springer LNCS 5706
At Evaluating Systems for Multilingual and Multimodal Information Access
Date 2009
Is part of repository
Status Peer reviewed
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  • http://data.open.ac.uk/oro/document/33415
  • http://data.open.ac.uk/oro/document/33416
  • http://data.open.ac.uk/oro/document/33417
  • http://data.open.ac.uk/oro/document/33976
Abstract In this paper we provide some analysis of data fusion techniques employed at GeoCLEF 2008 to merge textual and geographic relevance. These methods are compared to our own experiments, where using our GIR system, Forostar, we show that an aggressive filter-based data fusion method can outperform a more sophisticated penalisation method.
Authors authors
Type
Label Overell, Simon; Rae, Adam and Rüger, Stefan (2009). Geographic and textual data fusion in Forostar. In: Evaluating Systems for Multilingual and Multimodal Information Access, 17-19 Sep 2008, Aarhus, Denmark, Springer LNCS 5706, pp. 838–842.
Title Geographic and textual data fusion in Forostar