Abstract
Our contribution is dedicated to geographic information contained in unstructured textual documents. The main focus of this article is to propose a general indexing strategy that is dedicated to spatial information, but which could be applied to temporal and thematic information as well. More specifically, we have developed a process flow that indexes the spatial information contained in textual documents. This process flow interprets spatial information and computes corresponding accurate footprints. Our goal is to normalize such heterogeneous grained and scaled spatial information (points, polylines, polygons). This normalization is carried out at the index level by grouping spatial information together within spatial areas and by using statistics to compute frequencies for such areas and weights for the retrieved documents.
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Notes
- 1.
Mountains of the south west of France.
- 2.
Part of this project is supported by the Greater Pau City Council and the MIDR media library.
- 3.
E.g. for word “forgotten” the truncation returns “forgot”.
- 4.
E.g. for word “forgotten” the lemmatization returns “forget”.
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Palacio, D., Sallaberry, C., Gaio, M. (2012). Normalizing Spatial Information to Improve Geographical Information Indexing and Retrieval in Digital Libraries. In: Yeh, A., Shi, W., Leung, Y., Zhou, C. (eds) Advances in Spatial Data Handling and GIS. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25926-5_6
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