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Abstract:
In this paper we present a suite of methods for extracting temporal relations
from semi-structured and textual Web sources. We particularly address the needs
for building and maintaining business ontologies, where the time aspects of
relations between companies, between companies and products, and between
companies and customers are important. For example, the date on which a company
acquired another company or when a new CEO took over is crucial information for
business-intelligence applications. Our methods are geared for extracting
business relations and their time information from three kinds of sources:
Wikipedia infoboxes, Reuter’s news feeds, and news pages provided by Google.
All techniques are integrated into the TOB framework for timely business
ontologies. Our experiments show that we can achieve fairly high precision for
the extracted information.
