• DocumentCode
    467709
  • Title

    Building Knowledge Base from Semi-Structured Data

  • Author

    Liu, Xiao-Li ; Wu, Guo-Qing ; Yang, Min

  • Author_Institution
    Wuhan Univ., Wuhan
  • Volume
    2
  • fYear
    2007
  • fDate
    19-22 Aug. 2007
  • Firstpage
    839
  • Lastpage
    843
  • Abstract
    Semantic pattern is kind of template with semantic information, and it can be used to structurized a sentence. In this paper, semantic pattern based question and its corresponding answers are used as the data resource of knowledge base. The exact answer is extracted from plain text answer by matching of question and answer. Two kinds of matching methods and the experiment results are simple presented. Extracted exact answer and semantic pattern based question are composed of a structured information unit which can be inserted into knowledge base with the assistance of ontology. The disease ontology is studied for illustration. Our approach to knowledge base construction is concise and effective.
  • Keywords
    data structures; knowledge acquisition; knowledge based systems; ontologies (artificial intelligence); answer matching; data resource; disease ontology; exact answer extraction; knowledge base construction; plain text answer; question matching; semantic pattern based question; semistructured data; sentence structuring; Books; Computer science; Cybernetics; Data mining; Diseases; Information analysis; Interference; Machine learning; Ontologies; Pattern analysis; Disease ontology; Knowledge extraction; Semantic pattern;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2007 International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-0973-0
  • Electronic_ISBN
    978-1-4244-0973-0
  • Type

    conf

  • DOI
    10.1109/ICMLC.2007.4370259
  • Filename
    4370259