International Journal of Web Information Systems

International Journal of Web Information Systems
影响因子:
2.5
ISSN:
print: 1744-0084
on-line: 1744-0092
研究领域:
COMPUTER SCIENCE, INFORMATION SYSTEMS-
自引率:
0.00%
Gold OA文章占比:
11.69%
原创研究文献占比:
95.24%
SCI收录类型:
Emerging Sources Citation Index (ESCI) || Scopus (CiteScore)
期刊介绍英文:
The Global Information Infrastructure is a daily reality. In spite of the many applications in all domains of our societies: e-business, e-commerce, e-learning, e-science, and e-government, for instance, and in spite of the tremendous advances by engineers and scientists, the seamless development of Web information systems and services remains a major challenge. The journal examines how current shared vision for the future is one of semantically-rich information and service oriented architecture for global information systems. This vision is at the convergence of progress in technologies such as XML, Web services, RDF, OWL, of multimedia, multimodal, and multilingual information retrieval, and of distributed, mobile and ubiquitous computing. Topicality While the International Journal of Web Information Systems covers a broad range of topics, the journal welcomes papers that provide a perspective on all aspects of Web information systems: Web semantics and Web dynamics, Web mining and searching, Web databases and Web data integration, Web-based commerce and e-business, Web collaboration and distributed computing, Internet computing and networks, performance of Web applications, and Web multimedia services and Web-based education.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
4.60.4330.753
学科
排名
百分位
大类:Computer Science
小类:Information Systems
153 / 394
61%
大类:Computer Science
小类:Computer Networks and Communications
162 / 395
59%
发文信息
WOS期刊分区
学科分类
Q2COMPUTER SCIENCE, INFORMATION SYSTEMS
历年影响因子
2022年1.6000
2023年2.5000
历年发表
2012年20
2013年19
2014年23
2015年24
2016年25
2017年26
2018年27
2019年38
2020年25
2021年37
2022年19
投稿信息
出版国家(地区):
United Kingdom
出版商:
Emerald

International Journal of Web Information Systems - 最新文献

Web-aided data set expansion in deep learning: evaluating trainable activation functions in ResNet for improved image classification

Pub Date : 2024-07-12 DOI: 10.1108/ijwis-05-2024-0135 Zhiqiang Zhang, Xiaoming Li, Xinyi Xu, Chengjie Lu, Yihe Yang, Zhiyong Shi

Click-through rate prediction model based on graph networks and feature squeeze-and-excitation mechanism

Pub Date : 2024-07-09 DOI: 10.1108/ijwis-07-2023-0110 Zhongqin Bi, Susu Sun, Weina Zhang, Meijing Shan

Enhancing the viewing, browsing and searching of knowledge graphs with virtual properties

Pub Date : 2024-04-16 DOI: 10.1108/ijwis-02-2023-0027 Henrik Dibowski
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