Special Issue on Semantic Recognition
  • Lead Guest Editor
    • Hao Wen
      College of Information and Control Engineering, Xi’an University of Architecture and Technology, Xi’an, Shanxi, China
  • Special Issue Information

    Semantic recognition is one of the important components of natural language processing (NLP) technology, involving linguistics, computer language, mathematics, statistics, philosophy, biology and other disciplines. It has a wide range of applications and can be directly applied to medical, education, financial and other industries. The core of semantic recognition is to understand the meaning of words in sentences and chapters. Knowledge Discovery (KDD) is a broad term for "data mining" that derives knowledge from different media representations based on different needs. It involves Bayesian theory, association rule mining, neural network, fuzzy classification and clustering. The complement of the two is the realization of the basic technology of artificial intelligence.
    Aims and Scope:
    1. Semantic Recognition
    2. Knowledge Discovery
    3. Data Mining
    4. Artificial Intelligence
    5. Feature Extraction
    6. Classification