2007 · 13 citations · 0 references
ComputingComputer ScienceGeoinformaticsInformation RetrievalNatural Language ProcessingSpatial AnalysisDocument RepresentationGeographic Information RetrievalGeospatial Natural Language ProcessingInformation ExtractionRetrieval ModelsSemantic SearchAutomatic IndexingCase Study EvaluationGeo-document RetrievalGeographic Information ExtractionGeospatial Information RetrievalIndexingSpatial Information ExtractionSpatial Relation Extraction
This paper deals with spatial Information Extraction (IE) and Retrieval (IR) in Digital Libraries environments. The proposed approach (implemented within PIV(1) prototype) is based on a linguistic and semantic analysis of digital corpora and free text queries. First, we present requirements and a methodology of semantic annotation for automatic indexing and geo-referencing of text documents. Then we report on a case study where the spatial-based IR process is evaluated and compared to classical (statistical-based) IR approaches using first pure spatial queries and then more general ones dealing with both spatial and thematic scopes. The main result in these first experiments shows that combining a spatial approach with a classical (statistical-based) IR one improves in a significant way retrieval accuracy, namely in the case of general queries.