Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Knowledge Base Associated with Autism Construction Using CRFs Learning

  • Yang, Ronggen (School of Intelligent Science and Control Engineering, Jinling Institute of Technology) ;
  • Gong, Lejun (School of Computer, Nanjing University of Posts and Telecommunications)
  • Received : 2019.06.26
  • Accepted : 2019.09.03
  • Published : 2019.12.31
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Abstract

Knowledge base means a library stored in computer system providing useful information or appropriate solutions to specific area. Knowledge base associated with autism is the complex multidimensional information set related to the disease autism for its pathogenic factor and therapy. This paper focuses on the knowledge of biological molecular information extracted from massive biomedical texts with the aid of widespread used machine learning methods. Six classes of biological molecular information (such as protein, DNA, RNA, cell line, cell component, and cell type) are concerned and the probability statistics method, conditional random fields (CRFs), is utilized to discover these knowledges in this work. The knowledge base can help biologists to etiological analysis and pharmacists to drug development, which can at least answer four questions in question-answering (QA) system, i.e., which proteins are most related to the disease autism, which DNAs play important role to the development of autism, which cell types have the correlation to autism and which cell components participate the process to autism. The work can be visited by the address http://134.175.110.97/bioinfo/index.jsp.

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