Determining the Degree of Knowledge Processing in Semantics through Probabilistic Measures
作者: Rashmi SHanumanthappa M
刊名: International Journal of Information Technology and Computer Science(IJITCS), 2017, Vol.9 (7), pp.35-41
来源数据库: Modern Education & Computer Science(MECS)Journal
DOI: 10.5815/ijitcs.2017.07.04
原始语种摘要: World Wide Web is a huge repository of information. Retrieving data patterns is facile by using data mining techniques. However identifying the knowledge is tough, tough because the knowledge should be meaningful. Semantics, a branch of linguistics, defines the process of supplying knowledge to the computer system. The underlying idea of semantics is to understand the language model and its correspondence with the meaning associability. Though semantics indicates a crucial ingredient for language processing, the degree of work composition done in this area is minimal. This paper presents an ongoing semantic research problem thereby investigating the theory and rule representation. Probabilistic approach for semantics is demonstrated to address the semantics knowledge representation. The...
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  • meaningful 有意义的
  • semantics 语义学
  • correspondence 通信
  • knowledge 知识
  • probabilistic 概率的
  • processing 加工
  • understand 理解
  • language 语言
  • precision 精度
  • computer 电子计算机