Qualitative geocoding of persistent web pages

  • Authors:
  • Albert Angel;Chara Lontou;Dieter Pfoser;Alexandros Efentakis

  • Affiliations:
  • University of Toronto, Canada;National Technical University of Athens, Greece;University Campus Patras, Rion, Greece;University Campus Patras, Rion, Greece

  • Venue:
  • Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
  • Year:
  • 2008

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Abstract

Information and specifically Web pages may be organized, indexed, searched, and navigated using various metadata aspects, such as keywords, categories (themes), and also space. While categories and keywords are up for interpretation, space represents an unambiguous aspect to structure information. The basic problem of providing spatial references to content is solved by geocoding; a task that relates identifiers in texts to geographic co-ordinates. This work presents a methodology for the semiautomatic geocoding of persistent Web pages in the form of collaborative human intervention to improve on automatic geocoding results. While focusing on the Greek language and related Web pages, the developed techniques are universally applicable. The specific contributions of this work are (i) automatic geocoding algorithms for phone numbers, addresses and place name identifiers and (ii) a Web browser extension providing a map-based interface for manual geocoding and updating the automatically generated results. With the geocoding of a Web page being stored as respective annotations in a central repository, this overall mechanism is especially suited for persistent Web pages such as Wikipedia. To illustrate the applicability and usefulness of the overall approach, specific geocoding examples of Greek Web pages are presented.