杂志简称：data knowl eng
中文译名：《数据与知识工程》
收录属性：高质量科技期刊（t3）, scie（2024版）, 目次收录（知网）,英文期刊,
自引率：4.30%
投稿方向：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
SCI/E期刊基本信息
出版周期：双月刊 地区：荷兰
中科院分区：4区
是否TOP：非TOP期刊
是否综述：非综述期刊
是否OA：非OA期刊
国际标准刊号：ISSN 0169-023X；EISSN 1872-6933
杂志语言：英语
出版国家：荷兰
杂志官网 联系方式
出版地址：ELSEVIER SCIENCE BV,PO BOX 211,AMSTERDAM,NETHERLANDS,1000 AE
杂志邮箱：
投稿网址：https://www.editorialmanager.com/datak/Default.aspx
杂志官方网址：http://www.journals.elsevier.com/data-and-knowledge-engineering/
出版商网址：http://www.elsevier.com
杂志投稿要求
投稿须知【杂志社官方网站信息】
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