Managing semantic content for the Web

Abstract

By associating meaning with content, the Semantic Web will facilitate search, interoperability, and the composition of complex applications. The paper discusses the Semantic Content Organization and Retrieval Engine (SCORE, see vvww.voquette.com), which is based on research transferred from the University of Georgia's Large Scale Distributed Information Systems. SCORE belongs to a new generation of technologies for the emerging Semantic Web. It provides facilities to define ontological components that software agents can maintain. These agents use regular expression based rules in conjunction with various semantic techniques to extract ontology-driven metadata from structured and semistructured content. Automatic classification and information-extraction techniques augment these results and also let the system deal with unstructured text.