Guoray Cai
Abstract
The study of relevance is one of the central themes in information science where the concern is to match information objects with expressed information needs of the users. Despite substantial advances in search engines and information retrieval (IR) systems in the past decades, this seemingly intuitive concept of relevance remains to be an illusive one to define and even more challenging to model computationally [5, 13]. Geographical information retrieval extends and advances traditional IR methods with a spatial (or geographical dimension) of document representation and relevance measures.
- Beard, K. and Sharma, V., 1997, Multidimensional ranking for data in digital spatial libraries. International Journal on Digital Libraries, 1 (2). 153--160.Google Scholar
Cross Ref
- Cai, G. 2002, "GeoVIBE: A Visual Interface for Geographical Information in Digital Libraries." In: Borner, K. and Chen, C. eds. LNCS 2539: Visual Interfaces to Digital Libraries, Springer Verlag, 171--187. Google ScholarDigital Library
- Cai, G. 2002, "GeoVSM: An Integrated Retrieval Model For Geographical Information." In: Egenhofer, M. and Mark, D. eds. LNCS 2478: Proceedings of the Second International Conference in Geographic Information Science, Springer, Berlin, 65--79. Google ScholarDigital Library
- Frontiera, P., Larson, R. and Radke, J., 2008, A comparison of geometric approaches to assessing spatial similarity for GIR. International Journal of Geographical Information Science, 22 (3). 337--360. Google ScholarDigital Library
- Hjørland, B., 2010, The foundation of the concept of relevance. Journal of the American Society for Information Science and Technology, 61 (2). 217--237. Google ScholarDigital Library
- Hobona, G., James, P. and Fairbairn, D., 2006, Multidimensional visualisation of degrees of relevance of geographic data. International Journal of Geographical Information Science, 20. 469--490.Google ScholarCross Ref
- Larson, R. R. and Frontiera, P. 2004, "Spatial Ranking Methods for Geographic Information Retrieval (GIR) in Digital Libraries." In: Heery, R. and Lyon, L. eds. Research and Advanced Technology for Digital Libraries-Proceedings of ECDL 2004, LNCS 3232, 45--56.Google Scholar
- Martins, B., Silva, M. J. and Andrade, L. 2005, "Indexing and ranking in Geo-IR systems" Proceedings of the 2005 workshop on Geographic information retrieval, ACM, Bremen, Germany, 2005. Google ScholarDigital Library
- Papadias, D., Sellis, T., Theodoridis, Y. and Egenhofer, M. J., 1995, Topological relations in the world of minimum bounding rectangles: a study with R-trees. SIGMOD Rec., 24 (2). 92--103. Google ScholarDigital Library
- Purves, R. S., Clough, P., Jones, C. B., Arampatzis, A., Bucher, B., Finch, D., Fu, G., Joho, H., Syed, A. K., Vaid, S., et al., 2007, The design and implementation of SPIRIT: a spatially aware search engine for information retrieval on the Internet. International Journal of Geographical Information Science, 21 (7). 717--745. Google ScholarDigital Library
- Raper, J., 2007, Geographic relevance. Journal of Documentation, 63 (6). 836--852.Google ScholarCross Ref
- Reichenbacher, T. 2007, "The concept of relevance in mobile maps." In: Gartner, G., Cartwright, W. and Peterson, M. P. eds. Location Based Services and TeleCartography, Springer Berlin Heidelberg, 231--246.Google Scholar
- Saracevic, T., 2007, Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance. Journal of the American Society for Information Science and Technology, 58 (3). 1915--1933. Google ScholarDigital Library
- Wilson, P., 1973, Situational relevance. Information Storage and Retrieval, 9 (8). 457--471.Google ScholarCross Ref
- Yu, B. and Cai, G. 2007, "A query-aware document ranking method for geographic information retrieval." In: Proceedings of the 4th ACM workshop on Geographical information retrieval, ACM, Lisbon, Portugal, 49--54. Google ScholarDigital Library
Index Terms
- Relevance ranking in Geographical Information Retrieval
Recommendations
Relevance and ranking in geographic information retrieval
FDIA'11: Proceedings of the Fourth BCS-IRSG conference on Future Directions in Information AccessGeographic Information Retrieval (GIR) is a specialized branch of traditional Information Retrieval (IR), which deals with the information related to geographic locations. One of the main challenges of GIR is to quantify the spatial relevance of ...
Evaluating scalability in information retrieval with multigraded relevance
AIRS'06: Proceedings of the Third Asia conference on Information Retrieval TechnologyFor the user’s point of view, in large environments, it can be desirable to have Information Retrieval Systems (IRS) that retrieve documents according to their relevance levels. Relevance levels have been studied in some previous Information Retrieval (...
Ranking Refinement via Relevance Feedback in Geographic Information Retrieval
MICAI '09: Proceedings of the 8th Mexican International Conference on Artificial IntelligenceRecent evaluation results from Geographic Information Retrieval (GIR) indicate that current information retrieval methods are effective to retrieve relevant documents for geographic queries, but they have severe difficulties to generate a pertinent ...
Comments