000			04878nas a22003735i 4500
001			1573-7675
003			DE-He213
005			20260610082526.0
007			cr nn 008mamaa
008			150723s||||||||xxuuu poo|||||| b|EN |d
022			_a1573-7675
024	7		_a10.1007/10844.1573-7675 _2doi
210	1	0	_aJ Intell Inf Syst
245	1	0	_aJournal of Intelligent Information Systems _h[electronic resource] : _bIntegrating Artificial Intelligence and Database Technologies / _cedited by Zbigniew Ras.
264		1	_aNew York : _bSpringer US : _bImprint: Springer.
300			_bonline resource.
520			_aThe 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.
650		0	_aInformation storage and retrieval systems.
650		0	_aData structures (Computer science).
650		0	_aInformation theory.
650		0	_aArtificial intelligence.
650		0	_aBusiness information services.
650		0	_aNatural language processing (Computer science).
650	1	4	_aInformation Storage and Retrieval.
650	2	4	_aData Structures and Information Theory.
650	2	4	_aArtificial Intelligence.
650	2	4	_aIT in Business.
650	2	4	_aNatural Language Processing (NLP).
700	1		_aRas, Zbigniew. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt
710	2		_aSpringerLink (Online service)
776	0	8	_iPrinted version: _x0925-9902
856	4	0	_uhttps://doi.org/10.1007/10844.1573-7675 _zHybrid
999			_c3923 _d3923