Do Expressive Geographic Queries Lead to Improvement in Retrieval Effectiveness?

  • Damien Palacio
  • Christian Sallaberry
  • Guillaume Cabanac
  • Gilles Hubert
  • Mauro Gaio
Chapter
Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

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).

Keywords

Geographic information retrieval Expressive queries Criteria combination Meta-search engine Effectiveness measurement 

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References

  1. Aula A, Khan RM, Guan Z (2010) How does search behavior change as search becomes more difficult? CHI’10, pp 35-44.Google Scholar
  2. de Borda J-C (1781) Mémoire sur les élections au scrutin. Histoire de l’Académie Royale des Sciences.Google Scholar
  3. Costa Pereira C, Dragoni M, Pasi G (2009) Multidimensional Relevance: A New Aggregation Criterion. ECIR’09, pp 264-275.Google Scholar
  4. Croft B, Harabagiu S (2000) Advances in Information Retrieval: Recent Research from the Center for Intelligent Information Retrieval. Kluver Academic Publishers.Google Scholar
  5. Farah M, Vanderpooten D (2008) An outranking approach for information retrieval. Inf Retr 11, pp. 315-334.Google Scholar
  6. Fernández M, Vallet D, Castells P (2006) Probabilistic Score Normalization for Rank Aggregation. ECIR’06, pp 553-556.Google Scholar
  7. Fox EA, Shaw JA (1993) Combination of Multiple Searches. In: Harman DK (ed) TREC-1, pp 243-252.Google Scholar
  8. 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.Google Scholar
  9. Gan Q, Attenberg J, Markowetz A, Suel T (2008) Analysis of geographic queries in a search engine log. LocWeb’08, pp 49-56.Google Scholar
  10. Gospodnetić O, Hatcher E (2005) Lucene in Action. Manning PublicationsGoogle Scholar
  11. Hubert G, Cabanac G, Sallaberry C, Palacio D (2011) Research and Advanced Technology for Digital Libraries. TPDL’11, pp 118-129.Google Scholar
  12. 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.Google Scholar
  13. Kelly D, Fu X (2007) Eliciting better information need descriptions from users of information search systems. Inf. Process. Manag. 43, pp. 30-46.Google Scholar
  14. Larson RR (2009) Geographic Information Retrieval and Digital Libraries. ECDL’09, pp 461-464.Google Scholar
  15. Liesaputra V, Witten IH, Bainbridge D (2009) Searching in a Book. ECDL’09, pp. 442-446Google Scholar
  16. 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.Google Scholar
  17. Manning CD, Raghavan P, Schütze H (2008) Introduction to Information Retrieval. 4,123,192,403.Google Scholar
  18. Martins B, Borbinha J, Pedrosa G, et al. (2007) Geographically-aware information retrieval for collections of digitized historical maps. GIR’07, pp. 39-42Google Scholar
  19. Ounis I, Amati G, Plachouras V, et al. (2005) Terrier Information Retrieval Platform. ECIR’05, pp. 517-519Google Scholar
  20. 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.Google Scholar
  21. Palacio D, Sallaberry C, Gaio M (2011) Generalize geographic information to combine IR results. AGILE’11, pp. 151-153Google Scholar
  22. Le Parc-Lacayrelle A, Gaio M, Sallaberry C (2007) La composante temps dans l’information géographique textuelle. Revue Doc. Num. 10, pp. 129-148.Google Scholar
  23. Pfoser D, Efentakis A, Hadzilacos T, et al. (2009) Providing Universal Access to History Textbooks: A Modified GIS Case. W2GIS. pp. 87-102Google Scholar
  24. Rasolofo Y, Hawking D, Savoy J (2003) Result merging strategies for a current news metasearcher. Inf. Process. Manag. 39:581-609.Google Scholar
  25. Sanderson M, Kohler J (2004) Analyzing Geographic Queries. Proceedings of the Workshop on Geographic Information Retrieval, SIGIR .Google Scholar
  26. 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.Google Scholar
  27. 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.Google Scholar
  28. Tukey JW (1977) Exploratory data analysis. Addison-Wesley.Google Scholar
  29. Usery EL (1996) A feature-based geographic information system model. Photogrammetric Engineering & Remote Sensing 62, pp. 833-838.Google Scholar
  30. Voorhees EM, Harman DK (1999) Overview of the Seventh Text REtrieval Conference (TREC-8). TREC-8. pp. 1-23.Google Scholar
  31. White RW, Morris D (2007) Investigating the querying and browsing behavior of advanced search engine users. SIGIR’07, pp. 255-262.Google Scholar
  32. Williamson DF, Parker RA, Kendrick JS (1989) The Box Plot: A Simple Visual Method to Interpret Data. Ann Intern Med 110, pp. 916-921.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Damien Palacio
    • 1
    • 3
  • Christian Sallaberry
    • 1
  • Guillaume Cabanac
    • 2
  • Gilles Hubert
    • 2
  • Mauro Gaio
    • 1
  1. 1.LIUPPA ÉAUniversité de Pau et des Pays de l’AdourBayonneFrance
  2. 2.Université de Toulouse,CNRS,IRIT UMRToulouseFrance
  3. 3.GIS, Geographisches InstitutUniversität ZürichZürichSwitzerland

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