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By Christian Sallaberry

This e-book addresses the sphere of geographic info extraction and retrieval from textual records. Geographic details retrieval is a quickly rising topic, a pattern fostered via the starting to be strength of the web and the rising chances of facts dissemination. After positioning his paintings during this box in bankruptcy 1, the writer makes proposals within the following chapters. bankruptcy 2 makes a speciality of spatial Read more...

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6] is applied when Q is contained within Df . 3. Elements of measure of spatial similarity The work relative to the measure of temporal similarity is less diverse. 1. However, Teissèdre et al. [TEI 11] propose a temporal relevancy calculation heuristic with the double objective of (1) ranking according to relevance the results of a retrieval and (2) integrating the documents that are non-relevant in the sense of Allen but sufficiently close to the search period to possibly interest the author of the query.

2. Named entities The notion of NE is widely associated with the establishment of the evaluation campaigns of Message Understanding Conferences (MUC) systems [CHI 97]. These 20 Geographical Information Retrieval in Textual Corpora campaigns mainly target the recognition and categorization of textual units referring to the names of people, businesses and places as well as other phrases such as dates, time, monetary units and percentages, which can be recognized by specific grammar rules [GRI 96, POI 03].

Moreover, the pieces of detected information can be subjective or dependent on the context in which they are invoked and as a result, the associated numeric representations always imply a certain approximation. 2. Named entities The notion of NE is widely associated with the establishment of the evaluation campaigns of Message Understanding Conferences (MUC) systems [CHI 97]. These 20 Geographical Information Retrieval in Textual Corpora campaigns mainly target the recognition and categorization of textual units referring to the names of people, businesses and places as well as other phrases such as dates, time, monetary units and percentages, which can be recognized by specific grammar rules [GRI 96, POI 03].

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