Seminar Details
| Date |
27-9-2010 |
| Time |
10:00 |
| Room/Location |
DISI-Sala Conferenze - 3 piano |
| Title |
Determining the Spatial Reader-scope of News Sources with Local Lexicons |
| Speaker |
Dott. Gianluca Quercini |
| Affiliation |
Faculty Research Assistant at Institute for Advanced Computer Studies, University of Maryland |
| Link |
http://www.umiacs.umd.edu/
|
| Abstract |
Information sources on the Internet (e.g. web versions of
newspapers) usually have an implicit spatial reader-scope, termed the
audience location which is the geographical location for which the
content has been primarily produced.
Knowledge of the spatial reader-scope facilitates the construction of
a news search engine that provides readers a set of news sources
relevant to the location in which they
are interested.
In particular, it plays an important role in disambiguating toponyms
(e.g. textual specifications of geographical locations) in news
articles, as the interpretation that is chosen for the toponym often
reduces to selecting an interpretation that seems natural to those
familiar with audience location.
The key to determining the spatial reader-scope of news sources is the
notion of local lexicon, which for a location s is a set of concepts
such as, but not limited to, names of people, landmarks, and
historical events, that are spatially related to s.
Techniques to automatically generate the local lexicon of a location
by using the link structure of Wikipedia are described and evaluated.
A key contribution is the improvement of existing methods used in the
semantic relatedness domain to extract concepts spatially related to a
given location from the Wikipedia. Results of experiments are
presented that indicate that the knowledge of the audience location
significantly improves the disambiguation of textually specified
locations in news articles and that the local lexicon is an effective
method to determine the spatial reader-scope of a news source. |
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