On a New Model and Algorithm to Estimate Geographical Similarity between Document and Query in Gir System
نویسنده
چکیده
The usage of single geographical footprint model in existing Geographical Information Retrieval (GIR) system will cause many problems like overestimation or underestimation of the geographical scopes for documents to search. To be honest, the single geographical footprint model is not applicable in modern GIR system although it is simple, fast and widely applied today. In order to improve the quality of answers given to a spatial query, a new model as well as a dedicated algorithm will be proposed to study the geographical information attached to documents. Besides, a dedicated algorithm based on network graph, which is inspired by the Google PageRank and Bayesian network theory, is also invented to estimate the geographical similarity between document
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تاریخ انتشار 2008