Journal Title：Journal Of Intelligent Information Systems

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 - 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.

《智能信息系統(tǒng)：人工智能與數(shù)據(jù)庫技術集成》雜志的使命是促進和展示專注于人工智能與數(shù)據(jù)庫技術集成的研究和開發(fā)成果，以創(chuàng)建下一代信息系統(tǒng) - 智能信息系統(tǒng)。

這些新的信息系統(tǒng)體現(xiàn)了知識，使它們能夠表現(xiàn)出智能行為，與用戶和其他系統(tǒng)合作解決問題，發(fā)現(xiàn)、訪問、檢索和操作各種多媒體數(shù)據(jù)和知識，并在不確定的情況下進行推理。知識導向推理過程越來越多地用于：

從大型數(shù)據(jù)集中發(fā)現(xiàn)知識，

在復雜查詢制定和細化方面為用戶提供合作支持，

訪問、檢索、存儲和管理大型多媒體數(shù)據(jù)和知識集合，

集成來自多個異構數(shù)據(jù)和知識源的信息，以及

在不確定條件下推理信息。

多媒體和超媒體信息系統(tǒng)現(xiàn)在通過互聯(lián)網(wǎng)在全球范圍內(nèi)運行，需要新的工具和技術來管理這些動態(tài)和不斷發(fā)展的信息空間。

《智能信息系統(tǒng)雜志》提供了一個論壇，學者、研究人員和從業(yè)者可以在此發(fā)表高質量、原創(chuàng)和最先進的論文，描述智能信息系統(tǒng)的理論方面、系統(tǒng)架構、分析和設計工具和技術以及實施經(jīng)驗。 JIIS 發(fā)表的論文類別包括：研究論文、受邀論文、會議、研討會和會議公告和報告、調查和教程文章以及書評。也歡迎描述未解決的問題或其解決方案的短文。

Journal Of Intelligent Information Systems創(chuàng)刊于1992年，由Springer US出版商出版，收稿方向涵蓋工程技術 - 計算機：人工智能全領域，此刊是中等級別的SCI期刊，所以過審相對來講不是特別難，但是該刊專業(yè)認可度不錯，仍然是一本值得選擇的SCI期刊 。平均審稿速度 較慢,6-12周 ，影響因子指數(shù)2.3，該期刊近期沒有被列入國際期刊預警名單，廣大學者值得一試。