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JOURNAL OF INTELLIGENT INFORMATION SYSTEMS:
Integrating Artificial Intelligence and Database Technologies
Editors-in-Chief
Larry Kerschberg, George Mason University
E-mail: kersch@gmu.edu
Zbigniew Ras, University of North Carolina/ Charlotte
E-Mail: ras@uncc.edu
Maria Zemankova, Arlington, Virginia
E-Mail: mzemanko@nsf.gov
MISSION of JIIS
The mission of the Journal of Intelligent Information Systems (JIIS) 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.
JIIS 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 papers, meeting , workshop and conference announcements and
reports, survey and tutorial articles, and book reviews. Short articles describing open
problems or their solutions are also welcome.
Scope of JIIS
Topics of interest to JIIS include, but are not limited to the following:
- 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, manufacturing, telemedicine,
education, etc.)
We seek papers that improve on the best academic research or the best industrial
practice. Submitted papers should be motivated by the problems they address with
compelling examples from real or potential applications. Systems papers must contain
interpreted experimentation results either on real systems or simulations based on
representative traces from real systems. Papers from industrial organizations that discuss
implementation of systems and their use in practice are welcome. Proposals for special
issues, especially on emerging topics, are welcome.
Paper Submissions
Please contact: Judy Kemp
JIIS - Editorial Office
Kluwer Academic Publishers
101 Philip Drive
Norwell, MA 02061
Phone: 781-871-6300
Fax: 781-878-0449
E-Mail: jkemp@wkap.com
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