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Information Retrieval and Visualization Based on Documents Geospatial Semantics

conferencePaper

DOI:10.1109/ITRE.2006.381582
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Authors: Christian Sallaberry / Patrick Etcheverry / Christophe Marquesuzaa

Extracted Abstract:

—Local cultural heritage document collections are characterized by contents strongly attached to a territory and its history. Our contribution aims at enhancing such a content retrieval process efficiently each time a query includes geographic criteria. We propose a core model for a formal representation of geographic information. It takes into account the characteristics of different expression modes: written language and captures of drawings, maps, photographs, etc. We have developed a prototype fully implementing geographic Information Extraction (IE) and geographic Information Retrieval (IR) processes. We approach geographic IE from semantic processings additionally to classic IE approaches. This paper focuses on IR and Information Visualization (IV) proposals relying on the geospatial characteristics of documents. Index Terms — Geographic Model, Geographic Information Retrieval and Visualization, Non-Structured Documents, Digital Libraries, Cultural Heritage. I.

Level 1: Include/Exclude

  • Papers must discuss situated information visualization* (by Willet et al.) in the application domain of CH.
    *A situated data representation is a data representation whose physical presentation is located close to the data’s physical referent(s).
    *A situated visualization is a situated data representation for which the presentation is purely visual – and is typically displayed on a screen.
  • Representation must include abstract data (e.g., metadata).
  • Papers focused solely on digital reconstruction without information visualization aspects are excluded.
  • Posters and workshop papers are excluded to focus on mature research contributions.
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