Abstract
In this paper, we present an approach based on neural networks for organizing words of a specific domain according to their semantic relations. The terms, which are extracted from domain-specific text documents, are mapped onto a two-dimensional map to provide an intuitive interface displaying semantically similar words in spatially similar regions. This representation of a domain vocabulary supports the construction and enrichment of domain ontologies by making relevant concepts and their relations evident.
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Dittenbach, M., Merkl, D., Berger, H. (2003). Using a Connectionist Approach for Enhancing Domain Ontologies: Self-Organizing Word Category Maps Revisited. In: Kambayashi, Y., Mohania, M., Wöß, W. (eds) Data Warehousing and Knowledge Discovery. DaWaK 2003. Lecture Notes in Computer Science, vol 2737. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45228-7_27
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DOI: https://doi.org/10.1007/978-3-540-45228-7_27
Publisher Name: Springer, Berlin, Heidelberg
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