Journal of Intelligent Information Systems

期刊简介：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, andreason 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.

【译文】《智能信息系统杂志》的使命是促进和展示关于人工智能和数据库技术集成的研究和开发成果，以创建下一代信息系统——智能信息系统。这些新的信息系统体现了知识，使它们能够表现出智能行为，与用户和其他系统在问题解决、发现、访问、检索和操作各种多媒体数据和知识方面进行合作，并在不确定性下进行推理。越来越多地，知识驱动的推理过程被用于：从大量数据集中发现知识，为用户在复杂查询制定和细化方面提供协作支持，访问、检索、存储和管理大量多媒体数据和知识，集成来自多个异构数据和知识源的信息，以及在不确定性条件下对信息进行推理。多媒体和超媒体信息系统现在在全球范围内通过互联网运行，需要新的工具和技术来管理这些动态和不断发展的信息空间。《智能信息系统杂志》为学者、研究人员和从业者提供了一个论坛，他们可以在此发表高质量、原创和前沿的论文，描述智能信息系统的理论方面、系统架构、分析和设计工具和技术，以及实现经验。JIIS发表的论文类别包括：研究论文、特邀章节、会议、研讨会和会议公告及报告、调查和教程文章，以及书评。欢迎描述开放问题或其解决方案的简短文章。