Abstract
In this paper, semantic self-sufficiency of elements in factual knowledge extraction is introduced to meet the real knowledge service demands. The characters of semantic self-sufficiency are analyzed, and based on which the processing strategies are proposed. Though there are still some difficulties to cope with, semantic self-sufficiency is a tool to clearly define the elements of factual knowledge and can improve the results of automatic factual knowledge extraction.
This work is partially supported by the National Natural Science Foundation of China (Grant No. 71203208), National Science and Technology Support Program (Grant No. 2011BAH10B01) and ISTIC Key Project Program (Grant No. ZD2012-3-2). The authors also gratefully acknowledge the helpful comments and suggestions of the reviewers, which have improved the presentation.
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References
Zhang, Y.L., Gui, J., Zhu, L.J., Qiao, X.D.: The Development of Deep Content Indexing Standard of Chinese Patent. Digital Library Forum 11, 18–21 (2008)
Lin, Y.H.: Basic Direction Word Study from Weijin to Tang, PhD thesis, Huazhong University of Science and Technology (2006)
Wu, J.S.: Corpus Driven Study on Chinese-English Corresponding Unit Transition Analysis, Master thesis, Henan Normal University (2007)
Huang, Z.Y.: The Hierarchical Network of Concepts theory. Tsinghua University Press, Beijing (1998)
Huang, Z.Y.: The Fundamental theorem and mathematic physics expression of the language concept space. Ocean Press, Beijing (1998)
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Zhang, Y. (2014). The Study on Semantic Self-sufficiency in Factual Knowledge Extraction. In: Park, J., Adeli, H., Park, N., Woungang, I. (eds) Mobile, Ubiquitous, and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40675-1_32
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DOI: https://doi.org/10.1007/978-3-642-40675-1_32
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-40674-4
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