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Using Ontologies for Extracting Product Features from Web Pages*
Wolfgang Holzinger, Bernhard Krüpl, and Marcus Herzog
Database and Artificial Intelligence Group, Vienna University of Technology, Favoritenstraße 9-11, A-1040 Wien, Austriaholzing@dbai.tuwien.ac.at
kruepl@dbai.tuwien.ac.at
herzog@dbai.tuwien.ac.at
Abstract. In this paper, we show how to use ontologies to bootstrap a knowledge acquisition process that extracts product information from tabular data on Web pages. Furthermore, we use logical rules to reason about product specific properties and to derive higher-order knowledge about product features. We will also explain the knowledge acquisition process, covering both ontological and procedural aspects. Finally, we will give an qualitative and quantitative evaluation of our results.
*This research is supported in part by the Austrian Federal Ministry for Transport, Innovation and Technology under the FIT-IT contract FFG 809261 and by the REWERSE Network of Excellence.
LNCS 4273, p. 286 ff.
lncs@springer.com
© Springer-Verlag Berlin Heidelberg 2006