Abstract
The Encyclopedia of China contains considerably complete medical knowledge in unrestricted text. We have been developing a new method for extracting medical knowledge from the Electronic Encyclopedia of China. The method consists of two major parts: a high-level conceptual description language for use by knowledge engineers to formalize the text and a knowledge compiler for compiling the formalized text to a conceptual model.
This work is supported by a grant from the Chinese Academy of Sciences (#2000-4010), and a grant from the Foundation of Chinese Natural Science (#20010010-A)
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References
Bowden, P.R., Halstead, P., Rose, T.G.: Extracting Conceptual Knowledge from Text Using Explicit Relation Markers. In: Shadbolt, N., Ohara, K, Schreiber, G. (eds.): Advances in Knowledge Acquisition. Lecture Notes In Artificial Intelligence, Vol. 1076. Springer-Verlag, Berlin Heidelberg New York (1996) 147–162.
Delisle, S., Barker, K., Copek, T., Szpakowicz, S.: Interactive Semantic Analysis of Technical Texts. Int. J.Comp. Intell., 12 (1996), 273–306.
Hahn, U., Romacker, M.: Content Management in the SYNDIKATE System — How Technical Documents Are Automatically Transformed to Text Knowledge Bases. IEEE Transactions on Data & Knowledge Engineering 35 (2000) 137–159.
Hearst, M.A.: Untangling Text Data Mining. In: Proceedings of the 37th Annual Meeting of the Association for Computational Linguistics (invited paper).
Hull, R., Gomez, F.: Automatic Acquisition of Biographic Knowledge from Encyclopedic Texts. Int. J. Exp. Sys. with Appl. 16 (1999) 261–270.
Kazawa, K. Fujimoto, K., Matsuzawa, K.: Attribute Dependency Acquisition from Formatted Text. In: Proceedings of the 3rd International Conference on Knowledge-Based Intelligent Information Engineering Systems (1999) 464–468.
Plant, R.T.: Techniques for Knowledge Acquisition from Text. Int. J. Comp. Info. Sys. 35 (1994) 64–70.
Lu, R., Cao, C.: Towards Knowledge Acquisition from Domain Books. In: Wielinga, B, Gaines, B., Schreiber, G., Vansomeren, M. (eds.): Current Trends in Knowledge Acquisition. Amsterdam: IOS Press (1990), 289–301.
Sato, H., Fujimoto, K.: A New Approach to Semantic Word-matching for Knowledge Acquisition from Text Containing Daily-used Words. In Mohammadian, M. (ed.): Advances in Intelligent Systems: Theory and Applications. Frontiers in Artificial Intelligence and Applications, Vol. 59 (2000), 135–140.
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Cao, C. (2001). Medical Knowledge Acquisition from the Electronic Encyclopedia of China. In: Quaglini, S., Barahona, P., Andreassen, S. (eds) Artificial Intelligence in Medicine. AIME 2001. Lecture Notes in Computer Science(), vol 2101. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48229-6_38
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DOI: https://doi.org/10.1007/3-540-48229-6_38
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