Identify the Components of Artificial Intelligence in Iranian Databases

Message:
Article Type:
Research/Original Article (بدون رتبه معتبر)
Abstract:
Objective

The purpose of this study was to identify the components of artificial intelligence in Iranian databases and the rate of its use in these databases.

Methodology

This research is an applied and has done by documentary and survey method. The statistical population of this research includes 7 internal databases (Normags, Norlib, Magiran, Civilica, Irandoc, ISC and SID). Data collection tools were researcher-made notes and checklists and interviews with experts. Data analysis was performed using SPSS software.

Results

The results showed that Irandoc database had the most and Civilica and Magiran databases had the least use of artificial intelligence components. It also has the most used components in databases and components. Components of  "word Disambiguation in text", "name recognition and classification", "image translators", "description" "Image", "Speech to text conversion", "Text to speech conversion", "Audio translators" have had the least use in databases.

Conclusion

The results showed that the use of artificial intelligence components in Iranian databases can accelerate and facilitate the processes of processing, storing and retrieving resources in Iranian databases.

Language:
Persian
Published:
journal of knowledge studies, Volume:14 Issue: 54, 2022
Pages:
94 to 107
https://www.magiran.com/p2397701  
سامانه نویسندگان
  • Mohammad Hassan Azimi
    Author (1)
    Associate Professor Knowledge and information science, Shahid Chamram University, Ahvaz, Iran
    Azimi، Mohammad Hassan
  • Samira Esmaeily
    Corresponding Author (2)
    MSc Graduated Information Science, Shahed University, Tehran, Iran
    Esmaeily، Samira
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