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The Study on Semantic Self-sufficiency in Factual Knowledge Extraction

  • Yunliang ZhangEmail author
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 274)

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.

Keywords

Resource Description Framework Factual Knowledge Knowledge Object Form Boundary Knowledge Extraction 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.Institute of Scientific and Technical Information of ChinaBeijingChina

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