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要旨

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.