投稿信息
投稿信息
审稿周期
投稿命中率
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版面费用
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中国人发表比例
2023年中国人文章占该期刊总数量暂无数据 (2022年为100.00%)
自引率
3.3 %
年文章数
463
作者需知
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NCBI查询
偏重的研究方向
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期刊简介
稿件收录要求
稿件收录要求
The mission of the Journal of Intelligent Information Systems: Integrating Artifical Intelligence and Database Technologies is to foster and present research and development results focused on the integration of artificial intelligence and database technologies to create next generation information systems ñ Intelligent Information Systems. These new information systems embody knowledge that allows them to exhibit intelligent behavior cooperate with users and other systems in problem solving discovery access retrieval and manipulation of a wide variety of multimedia data and knowledge and reason under uncertainty. Increasingly knowledge-directed inference processes are being used to: discover knowledge from large data collections provide cooperative support to users in complex query formulation and refinement access retrieve store and manage large collections of multimedia data and knowledge integrate information from multiple heterogeneous data and knowledge sources and reason about information under uncertain conditions. Multimedia and hypermedia information systems now operate on a global scale over the Internet and new tools and techniques are needed to manage these dynamic and evolving information spaces. The Journal of Intelligent Information Systems provides a forum wherein academics researchers and practitioners may publish high-quality original and state-of-the-art papers describing theoretical aspects systems architectures analysis and design tools and techniques and implementation experiences in intelligent information systems. The categories of papers published by JIIS include: research papers invited papters meetings workshop and conference annoucements and reports survey and tutorial articles and book reviews. Short articles describing open problems or their solutions are also welcome. Topics of Interest: Topics of interest to JIIS include but are not limited to: Foundations and principles of data information and knowledge models Methodologies for IIS analysis design implementation validation maintenance and evolution User models intelligent and cooperative query languages and interfaces Knowledge representation integration fusion interchange and evolution Intelligent databases object-oriented extended-relational logic-based active databases and constraint management Intelligent information retrieval digital libraries and networked information retrieval Distributed multimedia and hypermedia information space design implementation and navigation Visual interfaces visual query languages and visual expressiveness of IIS Machine learning knowledge discovery and data mining Uncertainty management and reasoning under uncertainty Applications and case studies in novel applications (e.g. global change scientific databases Human Genome project Earth Observing System manu
