Geo-mining: Discovery of Road and Transport Networks Using Directional Patterns
Dmitry Davidov and Ari Rappoport
In: EMNLP 2009(2009).
One of the most desired information types
when planning a trip to some place is
the knowledge of transport, roads and
geographical connectedness of prominent
sites in this place. While some transport
companies or repositories make some of
this information accessible, it is not easy
to find, and the majority of information
about uncommon places can only be found
in web free text such as blogs and forums.
In this paper we present an algorithmic
framework which allows an automated
acquisition of map-like information
from the web, based on surface patterns
like “from X to Y”. Given a set of locations
as initial seeds, we retrieve from the
web an extended set of locations and produce
a map-like network which connects
these locations using transport type edges.
We evaluate our framework in several settings,
producing meaningful and precise