Abstract
Ontologies have shown their usefulness in application areas such as information integration, natural language processing, metadata for the world wide, to name but a few. However, there remains the problem of engineering large and adequate ontologies within short time frames in order to keep costs low. We here present a general architecture for discovering conceptual structures and engineering ontologies from text and a new approach for discovering non-taxonomic conceptual relations from text.
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A. Maedche and S. Staab. Discovering conceptual relations from text. In W. Horn(ed.):ECAI 2000. Proceedings of the 14th European Conference on Artificial Intelligence.IOS Press, Amsterdam, 2000.
A. Maedche and S. Staab. Semi-automatic engineering of ontologies from text. In Proceedings of the 12th International Conference on Software and Knowledge Engineering. Chicago,USA, July, 5-7, 2000. KSI, 2000.
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Maedche, A., Staab, S. (2001). Ontology Learning from Text. In: Bouzeghoub, M., Kedad, Z., Métais, E. (eds) Natural Language Processing and Information Systems. NLDB 2000. Lecture Notes in Computer Science, vol 1959. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45399-7_30
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DOI: https://doi.org/10.1007/3-540-45399-7_30
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