Abstract
The Web has become the world’s largest information source. Unfortunately, the main success factor of the Web, the inherent principle of distribution and autonomy of the participants, is also its main problem. When trying to make this information machine processable, common structures and semantics have to be identified. The goal of information extraction (IE) is exactly this, to transform text into a structural format. In this paper, we present a novel approach for information extraction developed as part of the XI3 project. Central to our approach is the assumption that we can obtain a better understanding of a text fragment if we consider its integration into higher-level concepts by exploiting text fragments from different parts of a source. In addition to previous approaches, we offer higher expressiveness of the extraction schema and an advanced method to deal with ambiguous texts. Our approach provides a way to use one extraction schema for multiple sources.
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Vlach, R., Kazakos, W. (2003). Using Common Schemas for Information Extraction from Heterogeneous Web Catalogs. In: Kalinichenko, L., Manthey, R., Thalheim, B., Wloka, U. (eds) Advances in Databases and Information Systems. ADBIS 2003. Lecture Notes in Computer Science, vol 2798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39403-7_11
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DOI: https://doi.org/10.1007/978-3-540-39403-7_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-20047-5
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