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Data & Knowledge Engineering《数据与知识工程》 (官网投稿)

简介
  • 期刊简称DATA KNOWL ENG
  • 参考译名《数据与知识工程》
  • 核心类别 高质量科技期刊(T3), SCIE(2024版), 目次收录(知网),外文期刊,
  • IF影响因子
  • 自引率4.30%
  • 主要研究方向计算机科学-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE计算机:人工智能;COMPUTER SCIENCE, INFORMATION SYSTEMS计算机:信息系统

主要研究方向:

等待设置主要研究方向
计算机科学-COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE计算机:人工智能;COMPUTER SCIENCE, INFORMATION SYSTEMS计算机:信息系统

Data & Knowledge Engineering《数据与知识工程》(双月刊). Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engine...[显示全部]
征稿信息

万维提示:

1、投稿方式:在线投稿。

2、期刊网址:

http://www.journals.elsevier.com/data-and-knowledge-engineering/

https://www.sciencedirect.com/journal/data-and-knowledge-engineering

3、投稿网址:

https://www.editorialmanager.com/datak/Default.aspx

4、期刊刊期:双月刊,逢单月出版。

2021年1116日星期二

                          

 

投稿须知【官网信息】

 

Guide for Authors

Database Systems and Knowledgebase Systems share many common principles. Data & Knowledge Engineering (DKE) stimulates the exchange of ideas and interaction between these two related fields of interest. DKE reaches a world-wide audience of researchers, designers, managers and users. The major aim of the journal is to identify, investigate and analyze the underlying principles in the design and effective use of these systems. DKE achieves this aim by publishing original research results, technical advances and news items concerning data engineering, knowledge engineering, and the interface of these two fields.

Types of Paper

DKE covers the following topics:

1. Representation and Manipulation of Data & Knowledge: Conceptual data models. Knowledge representation techniques. Data/knowledge manipulation languages and techniques.

2. Architectures of database, expert, or knowledge-based systems: New architectures for database / knowledge base / expert systems, design and implementation techniques, languages and user interfaces, distributed architectures.

3. Construction of data/knowledge bases: Data / knowledge base design methodologies and tools, data/knowledge acquisition methods, integrity/security/maintenance issues.

4. Applications, case studies, and management issues: Data administration issues, knowledge engineering practice, office and engineering applications.

5. Tools for specifying and developing Data and Knowledge Bases using tools based on Linguistics or Human Machine Interface principles.

6. Communication aspects involved in implementing, designing and using KBSs in Cyberspace.

Contact Details for Submission

Authors are strongly encouraged to submit their papers electronically at https://www.editorialmanager.com/datak/Default.aspx. Authors interested in online submission are requested to go to the website and upload their manuscript and its associated artwork. An electronic (PDF) proof is generated for the authors to review. The PDF file may be edited after acceptance to follow journal standards.

Please note that it is not advisable to submit two papers in one day.

Submission checklist

You can use this list to carry out a final check of your submission before you send it to the journal for review. Please check the relevant section in this Guide for Authors for more details.

Ensure that the following items are present:

One author has been designated as the corresponding author with contact details:

E-mail address

Full postal address

All necessary files have been uploaded:

Manuscript:

Include keywords

All figures (include relevant captions)

All tables (including titles, description, footnotes)

Ensure all figure and table citations in the text match the files provided

Indicate clearly if color should be used for any figures in print

Graphical Abstracts / Highlights files (where applicable)

Supplemental files (where applicable)

Further considerations

Manuscript has been 'spell checked' and 'grammar checked'

All references mentioned in the Reference List are cited in the text, and vice versa

Permission has been obtained for use of copyrighted material from other sources (including the Internet)

A competing interests statement is provided, even if the authors have no competing interests to declare

Journal policies detailed in this guide have been reviewed

Referee suggestions and contact details provided, based on journal requirements

……

更多详情:

https://www.elsevier.com/journals/data-and-knowledge-engineering/0169-023X/guide-for-authors


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