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The Study on Semantic Self-sufficiency in Factual Knowledge Extraction

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Book cover Mobile, Ubiquitous, and Intelligent Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 274))

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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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Author information

Authors and Affiliations

  1. Institute of Scientific and Technical Information of China, 15 Fuxing Road, Beijing, 100038, China

    Yunliang Zhang

Authors
  1. Yunliang Zhang
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Correspondence to Yunliang Zhang .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science & and Technology (SeoulTech), Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Biomedical Informatics Neuroscience, Ohio State University Center for Biomedical Engineering, Columbus, Ohio, USA

    Hojjat Adeli

  3. Dept of Computer Education, Jeju National University Teachers College, Jeju Special Self-Governing Province, Korea, Republic of (South Korea)

    Namje Park

  4. Ryerson University Dept. Computer Science, Toronto, Ontario, Canada

    Isaac Woungang

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© 2014 Springer-Verlag Berlin Heidelberg

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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

  • Online ISBN: 978-3-642-40675-1

  • eBook Packages: EngineeringEngineering (R0)

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