By Christian Sallaberry
This e-book addresses the sector of geographic details extraction and retrieval from textual records. Geographic info retrieval is a quickly rising topic, a development fostered by way of the growing to be strength of the web and the rising chances of information dissemination. After positioning his paintings during this box in bankruptcy 1, the writer makes proposals within the following chapters. bankruptcy 2 specializes in spatial Read more...
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Extra info for Geographical information retrieval in textual corpora
Example text
We identify five spatial relations: – adjacency: unary relation allowing us to describe SFs such as “near SF”, “far from SF” and “the periphery of SF”; – inclusion: unary relation allowing us to describe SFs such as “the neighborhood of SF”, “the center of SF” and “the peak of SF”; – orientation: unary relation allowing us to describe SFs such as “south of SF”; – distance: unary relation allowing us to describe SFs such as “an hour’s walk from SF” and “ 20 km from SF”; – union and intersection: n-ary relations that link at least two SFs such as “between SF1 and SF2”, “the SF1, SF2, SF3 triangle”, “at the intersection of SF1 and SF2” and “the SF1-SF2 border”.
4), under the direction of Gaio [GAI 08], we have implemented process flows dedicated to the automatic recognition of spatial and temporal named entities. We consider that, regardless of the territory, it is possible to clutch to a single or a set of named entities as characteristic elements of the content of a corpus of documents. The processes, successively lexical, morpho-syntactical and semantic consist, respectively, of extracting, validating and interpreting spatial and temporal named entities for the purposes of annotation and/or indexing.
Finally, the research objectives corresponding to the presented issues are mainly aimed at the design and implementation of: – models supporting the symbolic and numeric representation of spatial and temporal data; – process flows of spatial and temporal information extraction, interpretation and indexing; – spatial and temporal IR models. The contribution concerns first of all the proposition of symbolic representation models of spatial and temporal data. It also concerns the processes aiming at the Spatial and Temporal Information Retrieval in Textual Corpora 19 extraction and semantic analysis of such data in order to build the corresponding annotations [LEP 07, GAI 08].