%0 Book Section %1 springerlink:10.1007/978-3-540-69858-6_15 %A Perea-Ortega, José %A García-Cumbreras, Miguel %A García-Vega, Manuel %A Ureña-López, L. %B Natural Language and Information Systems %C Berlin / Heidelberg %D 2008 %E Kapetanios, Epaminondas %E Sugumaran, Vijayan %E Spiliopoulou, Myra %I Springer %K comparison lucene terrier %P 142-147 %R 10.1007/978-3-540-69858-6_15 %T Comparing Several Textual Information Retrieval Systems for the Geographical Information Retrieval Task %U http://sinai.ujaen.es/~jmperea/pdfs/2008/NLDB2008-article.pdf %V 5039 %X This paper presents a comparison between three different Information Retrieval (IR) systems employed in a particular Geographical Information Retrieval (GIR) system, the GeoUJA IR, a GIR architecture developed by the SINAI research group. It could be interesting and useful for determining which of the most used IR systems works better in GIR task. In the experiments, we have used the Lemur, Terrier and Lucene search engines using mono and bilingual queries. We present baseline cases, without applying any external processes, such as query expansion or filtering. In addition, we have used the default settings of each IR system. Results show that Lemur works better using monolingual queries and Terrier works better using the bilingual ones. %@ 978-3-540-69857-9

@incollection{springerlink:10.1007/978-3-540-69858-6_15, abstract = {This paper presents a comparison between three different Information Retrieval (IR) systems employed in a particular Geographical Information Retrieval (GIR) system, the GeoUJA IR, a GIR architecture developed by the SINAI research group. It could be interesting and useful for determining which of the most used IR systems works better in GIR task. In the experiments, we have used the Lemur, Terrier and Lucene search engines using mono and bilingual queries. We present baseline cases, without applying any external processes, such as query expansion or filtering. In addition, we have used the default settings of each IR system. Results show that Lemur works better using monolingual queries and Terrier works better using the bilingual ones.}, added-at = {2011-10-07T18:47:34.000+0200}, address = {Berlin / Heidelberg}, affiliation = {University of Jaén SINAI Research Group, Computer Science Department Spain}, author = {Perea-Ortega, José and García-Cumbreras, Miguel and García-Vega, Manuel and Ureña-López, L.}, biburl = {https://www.bibsonomy.org/bibtex/2b43aebd38bc6903c9d86e21328b9ee10/stroeh}, booktitle = {Natural Language and Information Systems}, description = {SpringerLink - Abstract}, doi = {10.1007/978-3-540-69858-6_15}, editor = {Kapetanios, Epaminondas and Sugumaran, Vijayan and Spiliopoulou, Myra}, interhash = {7b239e2b4f106957c75bd6859ccfa000}, intrahash = {b43aebd38bc6903c9d86e21328b9ee10}, isbn = {978-3-540-69857-9}, keyword = {Computer Science}, keywords = {comparison lucene terrier}, pages = {142-147}, publisher = {Springer}, series = {Lecture Notes in Computer Science}, timestamp = {2011-10-07T18:47:34.000+0200}, title = {Comparing Several Textual Information Retrieval Systems for the Geographical Information Retrieval Task}, url = {http://sinai.ujaen.es/~jmperea/pdfs/2008/NLDB2008-article.pdf}, volume = 5039, year = 2008 }