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文章基本信息

  • 标题:Modeling Knowledge Bases for Automated Decision Making Systems – A Literature Review
  • 本地全文:下载
  • 作者:Franz Felix Füssl ; Detlef Streitferdt ; Anne Triebel
  • 期刊名称:International Journal of Advanced Computer Science and Applications(IJACSA)
  • 印刷版ISSN:2158-107X
  • 电子版ISSN:2156-5570
  • 出版年度:2015
  • 卷号:6
  • 期号:9
  • DOI:10.14569/IJACSA.2015.060925
  • 出版社:Science and Information Society (SAI)
  • 摘要:Developing automated decision making systems means dealing with knowledge in every possible manner. One of the most important points of developing artificial intelligent systems is developing a precise knowledge base with integrating self-learning mechanisms. Moreover using knowledge in expert systems or decision support systems it is necessary to document knowledge and make it visible for managing it. Main goal of this work is finding a suitable solution for modeling knowledge bases in automated decision making systems concerning both illustrating specific knowledge and learning mechanisms. There are a lot of different terms describing this kind of research, such as knowledge modeling, knowledge engineering or ontology engineering. For that reason this paper provides a comparison of the technical terms in this domain by illustrating similarities, specifics and how they are used in literature.
  • 关键词:thesai; IJACSA; thesai.org; journal; IJACSA papers; Knowledge Base; Knowledge Modeling; Knowledge Engineering; Ontology Engineering; Artificial Neural Network; Expert System
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