Integration of AI and Database Technologies, Its Applications
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (1 August 2022) | Viewed by 3494
Special Issue Editors
Interests: big data; intelligent database; storage management system; distributed computing; social network service
Interests: database; mobile ad-hoc network; big data; social network service
Interests: database; senor network; storage system; big data
Special Issue Information
Dear Colleagues,
With the advent of big data, database technologies have evolved over the past 15 years to satisfy the characteristics of big data, such as volume, velocity, and diversity. To support volume characteristics, NoSQL technologies have been introduced that enable the distributed parallel management and processing of data. Since then, some technologies have evolved towards processing data streams in order to satisfy velocity characteristics. In addition, multi-model technologies are emerging to support various data models in consideration of variety characteristics.
Database techniques for big data are being applied to AI data pipelines to support learning data, as large amounts of learning data become important in artificial intelligence (AI), such as deep learning (DL). In AI data pipelines, database technologies serve data delivery and data life cycle management as an effective search and learning framework for large amounts of learning data. Furthermore, research is being conducted to apply AI data pipelines built on big data-related database technologies in various domains. On the other hand, research has been actively conducted to apply AI technologies to database technologies. In particular, studies have been conducted to improve performance by redesigning components to apply AI technologies on their own, to link AI functions (intelligent recommendation engines) to the existing DBMS, or to develop applications using them.
This Special Issue, “Integration of AI and Database technologies, Its Applications”, will publish original full papers including survey, theory, practice and applications of the integration of AI and database technologies. Papers that have been presented in conferences would also be welcomed.
Dr. Jae Soo Yoo
Dr. Kyoungsoo Bok
Dr. Seokil Song
Dr. Christopher Ryu
Guest Editors
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Keywords
- intelligent database
- intelligent data processing
- database functions or components for AI
- database functions or components for big data
- integration of AI and database technologies
- intelligent inference engines and databases
- intelligent data applications. Big data
- integration
- inference engine
- intelligent application
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