@conference {17781,
	title = {T-rex: A domain-independent system for automated cultural information extraction},
	booktitle = {Proceedings of the First International Conference on Computational Cultural Dynamics (ICCCD 2007)},
	year = {2007},
	month = {2007///},
	abstract = {RDF (Resource Description Framework) is a web standarddefined by the World Wide Web Consortium. In RDF, we
can define schemas of interest. For example, we can define a
schema about tribes on the Pakistan-Afghanistan borderland,
or a schema about violent events. An RDF instance is a set
of facts that are compatible with the schema. The principal
contribution of this paper is the development of a scalable
system called T-REX (short for {\textquotedblleft}The RDF EXtractor{\textquotedblright}) that
allows us to extract instances associated with a user-specified
schema, independently of the domain about which we wish
to extract data. Using T-REX, we have successfully extracted
information about various aspects of about 20 tribes living
in the Pakistan-Afghanistan border. Moreover, we have used
T-REX to successfully extract occurrences of violent events
from a set of 80 news sites in approximately 50 countries.
T-REX scales well {\textendash} it has processed approximately 45,000
web pages per day for the last 6 months.
},
	author = {Albanese, M. and V.S. Subrahmanian}
}
