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Computer Science - Database Management & Information Retrieval | Journal of Intelligent Information Systems - incl. option to publish open access (Editorial Board)

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Journal of Intelligent Information Systems

Journal of Intelligent Information Systems

Integrating Artificial Intelligence and Database Technologies

Editor-in-Chief: Zbigniew Ras

ISSN: 0925-9902 (print version)
ISSN: 1573-7675 (electronic version)

Journal no. 10844

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Zbigniew Ras
University of North Carolina, Charlotte, USA
Polish-Japanese Academy of Information Technology, Warsaw, Poland

Founding Editor

Larry Kerschberg
George Mason University, Fairfax, VA, USA

Editorial Board: 

Marharyta Aleksandrova, University of Luxembourg, LuxembourgAijun An, York University, CanadaTroels Andreasen, Roskilde University, Denmark; Annalisa Appice, University of Bari, ItalyPetr Berka, University of Economics, Prague; Elisa Bertino, Purdue University, USA; Alex Borgida, Rutgers University, USA; Francois Bry, University of Munchen, Germany; Michelangelo Ceci, University of Bari, Italy; Li Chen, Hong Kong Baptist University; Bruno Cremilleux, University of Caen Normandy, France; Andrzej Czyzewski, Gdansk University of Technology, Poland; Nicola Di Mauro University of Bari, Italy Dejing Dou, University of Oregon, USA; J. Stephen Downie, University of Illinois at Urbana-Champaign, USA; Tapio Elomaa, Tampere University of TechnologyAlexander Felfernig, Graz University of Technology, Austria; Edward Fox, Virginia Tech, USA; Joao Gama, University of Porto, Portugal; Mohand-Said Hacid, University of Lyon, France; Jiawei Han, University of Illinois at Urbana-Champaign, USAMatthias Jarke, RWTH Aachen, Germany; Matthias Klusch, DKFI, GermanyJiming Liu, Hong Kong Baptist University, Hong Kong; Donato Malerba, University of Bari, Italy; Elzbieta Malinowski, Universidad de Costa Rica; David Maluf, CISCO, USAGiuseppe Manco, ICAR-CNR, Italy; Richard Marcus, Massachusetts Institute of Technology, USA; Mamoun Mardini, University of Florida, USA; Agnieszka Mykowiecka, Polish Academy of Sciences; Jean-Marc Petit, University of Lyon, FranceOlivier Pivert, University of Rennes, France; Naren Ramakrishnan, Virginia Tech, USA; Tore Risch, Uppsala University, Sweden; Henryk Rybinski, Warsaw University of Technology, Poland; Eugene Santos, Dartmouth College, USA; Samira Shaikh, University of North Carolina at Charlotte, USA; Andrzej Skowron, University of Warsaw, Poland; Dominik Slezak, University of Warsaw, Poland; Nicolas Spyratos University of Paris-South, France; Jerzy Stefanowski, Poznan University of Technology, Poland; Einoshin Suzuki, Kyushu University, JapanOzlem Uzuner, George Mason University, USA; Herna Viktor, University of Ottawa, Canada; David C. Wilson, University of North Carolina at Charlotte; Shomir Wilson, Pennsylvania State University, USA; Xintao Wu, University of Arkansas, USA; Yiyu Yao, University of Regina, Canada; Slawomir Zadrozny, Polish Academy of Sciences, Poland; Wlodek Zadrozny, University of North Carolina at Charlotte; Carlo Zaniolo, University of California, Los Angeles, USA

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    2018 Impact Factor
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  • Aims and Scope

    Aims and Scope


    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.

    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 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 also welcome.

    Authors can expect a first decision response in three months from their manuscript's submission date.

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