Abstract
In an information retrieval (IR) context, users usually issue queries with few terms and no operators (e.g., and, or, +). However, most of users’ information needs involve more expressiveness (e.g., ‘Potato famine in Ireland, but not in Cork’). Our work deals with this category of queries that may be processed by geographic IR (GIR) systems to parse digital libraries according to spatial, temporal, and topical criteria. We propose a GIR framework that supports expressive queries and aggregates results of a multi-criteria search. We also conduct experiments to verify that this approach improves the effectiveness of such search engines (improvement of 27% for topical criteria only, and of 54% for spatial and temporal criteria).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Aula A, Khan RM, Guan Z (2010) How does search behavior change as search becomes more difficult? CHI’10, pp 35-44.
de Borda J-C (1781) Mémoire sur les élections au scrutin. Histoire de l’Académie Royale des Sciences.
Costa Pereira C, Dragoni M, Pasi G (2009) Multidimensional Relevance: A New Aggregation Criterion. ECIR’09, pp 264-275.
Croft B, Harabagiu S (2000) Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval. Kluver Academic Publishers.
Farah M, Vanderpooten D (2008) An outranking approach for information retrieval. Inf Retr 11, pp. 315-334.
Fernández M, Vallet D, Castells P (2006) Probabilistic Score Normalization for Rank Aggregation. ECIR’06, pp 553-556.
Fox EA, Shaw JA (1993) Combination of Multiple Searches. In: Harman DK (ed) TREC-1, pp 243-252.
Gaio M, Sallaberry C, Etcheverry P, et al. (2008) A global process to access documents’ contents from a geographical point of view. Jour. of Vis. Lang. And Comp.. Academic Press, Inc., Orlando, FL, USA, pp 3-23.
Gan Q, Attenberg J, Markowetz A, Suel T (2008) Analysis of geographic queries in a search engine log. LocWeb’08, pp 49-56.
Gospodnetić O, Hatcher E (2005) Lucene in Action. Manning Publications
Hubert G, Cabanac G, Sallaberry C, Palacio D (2011) Research and Advanced Technology for Digital Libraries. TPDL’11, pp 118-129.
Jones R, Zhang WV, Rey B, et al. (2008) Geographic intention and modification in web search. Int. Jour. of Geo. Inf. Sci. 22, pp. 229-246.
Kelly D, Fu X (2007) Eliciting better information need descriptions from users of information search systems. Inf. Process. Manag. 43, pp. 30-46.
Larson RR (2009) Geographic Information Retrieval and Digital Libraries. ECDL’09, pp 461-464.
Liesaputra V, Witten IH, Bainbridge D (2009) Searching in a Book. ECDL’09, pp. 442-446
Lucas W, Topi H (2002) Form and function: the impact of query term and operator usage on Web search results. J. Am. Soc. Inf. Sci. Techno. 53, pp. 95-108.
Manning CD, Raghavan P, Schütze H (2008) Introduction to Information Retrieval. 4,123,192,403.
Martins B, Borbinha J, Pedrosa G, et al. (2007) Geographically-aware information retrieval for collections of digitized historical maps. GIR’07, pp. 39-42
Ounis I, Amati G, Plachouras V, et al. (2005) Terrier Information Retrieval Platform. ECIR’05, pp. 517-519
Palacio D, Cabanac G, Sallaberry C, Hubert G (2010) On the evaluation of Geographic Information Retrieval systems: Evaluation framework and case study. Int. Jour. of Digit. Lib. (IJDL), pp. 91-109.
Palacio D, Sallaberry C, Gaio M (2011) Generalize geographic information to combine IR results. AGILE’11, pp. 151-153
Le Parc-Lacayrelle A, Gaio M, Sallaberry C (2007) La composante temps dans l’information géographique textuelle. Revue Doc. Num. 10, pp. 129-148.
Pfoser D, Efentakis A, Hadzilacos T, et al. (2009) Providing Universal Access to History Textbooks: A Modified GIS Case. W2GIS. pp. 87-102
Rasolofo Y, Hawking D, Savoy J (2003) Result merging strategies for a current news metasearcher. Inf. Process. Manag. 39:581-609.
Sanderson M, Kohler J (2004) Analyzing Geographic Queries. Proceedings of the Workshop on Geographic Information Retrieval, SIGIR .
Silverstein C, Marais H, Henzinger M, Moricz M (1999) Analysis of a very large web search engine query log. SIGIR Forum 33, pp. 6-12.
Spink A, Wolfram D, Jansen MBJ, Saracevic T (2001) Searching the Web: the public and their queries. J. Am. Soc. Inf. Sci. Technol. 52, pp. 226-234.
Tukey JW (1977) Exploratory data analysis. Addison-Wesley.
Usery EL (1996) A feature-based geographic information system model. Photogrammetric Engineering & Remote Sensing 62, pp. 833-838.
Voorhees EM, Harman DK (1999) Overview of the Seventh Text REtrieval Conference (TREC-8). TREC-8. pp. 1-23.
White RW, Morris D (2007) Investigating the querying and browsing behavior of advanced search engine users. SIGIR’07, pp. 255-262.
Williamson DF, Parker RA, Kendrick JS (1989) The Box Plot: A Simple Visual Method to Interpret Data. Ann Intern Med 110, pp. 916-921.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Palacio, D., Sallaberry, C., Cabanac, G., Hubert, G., Gaio, M. (2012). Do Expressive Geographic Queries Lead to Improvement in Retrieval Effectiveness?. In: Gensel, J., Josselin, D., Vandenbroucke, D. (eds) Bridging the Geographic Information Sciences. Lecture Notes in Geoinformation and Cartography(). Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29063-3_15
Download citation
DOI: https://doi.org/10.1007/978-3-642-29063-3_15
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-29062-6
Online ISBN: 978-3-642-29063-3
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)