A SEMANTIC WEB APPROACH TO PUBLISH AND CONSUME MAILING LISTS
Author(s):
Sergio Fernández,
Diego Berrueta,
Jose E. Labra
Paper abstract: Mailing list archives (i.e., the compilation of the messages posted up-to-now) are often published on the
web and indexed by conventional search engines. They store a vast knowledge capital. Unfortunately,
the ability to automatically recognize and process the information is mostly lost at publishing time. As a
result, the mailing list archives currently available on the web are difficult to query and have a limited
use. This paper describes an usage of the Semantic Web technologies in order to avoid the information
loss and to allow new applications to exploit the information in a more powerful way.
