2021年最新SCI期刊影响因子查询系统
DATA & KNOWLEDGE ENGINEERING 期刊详细信息
基本信息
| 期刊名称 | DATA & KNOWLEDGE ENGINEERING DATA & KNOWLEDGE ENGINEERING |
|---|---|
| 期刊ISSN | 0169-023X |
| 期刊官方网站 | http://www.journals.elsevier.com/data-and-knowledge-engineering/ |
| 是否OA | 否 |
| 出版商 | Elsevier |
| 出版周期 | Monthly |
| 始发年份 | 1985 |
| 年文章数 | 72 |
| 最新影响因子 | 1.5（2021） |
中科院SCI期刊分区
| 大类学科 | 小类学科 | Top | 综述 |
|---|---|---|---|
| 工程技术4区 | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 计算机：人工智能4区 | 否 | 否 |
| COMPUTER SCIENCE, INFORMATION SYSTEMS 计算机：信息系统4区 |
CiteScore
| CiteScore排名 | CiteScore | SJR | SNIP | ||
|---|---|---|---|---|---|
| 学科 | 排名 | 百分位 | 2.44 | 0.446 | 1.500 |
| Decision Sciences Information Systems and Management |
23 / 98 | 77% |
|||
补充信息
| 自引率 | 4.20% |
|---|---|
| H-index | 74 |
| SCI收录状况 |
Science Citation Index Expanded |
| 官方审稿时间 | |
| 网友分享审稿时间 | 数据统计中，敬请期待。 |
| PubMed Central (PML) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=0169-023X%5BISSN%5D |
投稿指南
| 期刊投稿网址 | https://www.evise.com/evise/faces/pages/login/login.jspx?resourceUrl=%2Ffaces%2Fpages%2Fnavigation%2FNavController.jspx%3FJRNL_ACR%3DDATAK%26 |
|---|---|
| 收稿范围 | 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. 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. Plus... conference reports, calendar of events, book reviews etc. |
| 收录体裁 | article |
| 投稿指南 | |
| 投稿模板 | |
| 参考文献格式 | |
| 编辑信息 |
