• DocumentCode
    2873632
  • Title

    An Improved Knowledge Push Method Based on Semantic Similarities

  • Author

    Liu Li-na ; Yu Zhi-lou

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Shan Dong Normal Univ., Jinan, China
  • fYear
    2012
  • fDate
    2-4 Nov. 2012
  • Firstpage
    378
  • Lastpage
    380
  • Abstract
    Knowledge is power and this adage conveys the importance of knowledge immutably, in the time of knowledge explosion, the way to acquire the necessary knowledge which enterprises or organizations need efficiently from the ocean of knowledge becomes the main problem, which the era of knowledge economy should face. This paper proposed an improved knowledge push method based on semantic similarity. We can take the initiative to push the knowledge to client what they interest and save the time required to query interesting knowledge from the vast resources. The experimental results show that our method has higher accuracy compared to the typical similarity calculation method.
  • Keywords
    business data processing; economics; knowledge management; organisational aspects; pattern matching; resource allocation; enterprises knowledge; knowledge economy; knowledge explosion; knowledge immutably; organizations knowledge; query interesting knowledge; semantic similarities-based knowledge push method; similarity calculation method; Accuracy; Dictionaries; Educational institutions; Knowledge engineering; Semantics; Vegetation; Vocabulary; HowNet; knowledge push; push technology; semantic similarity; similarity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia Information Networking and Security (MINES), 2012 Fourth International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4673-3093-0
  • Type

    conf

  • DOI
    10.1109/MINES.2012.67
  • Filename
    6405702