Journal Guide

Knowledge management is a term that has worked its way into the mainstream of both academic and business arenas since it was first coined in the 1980s. Interest has increased rapidly during the last decade and shows no signs of abating. The current state of the knowledge management field is that it encompasses four overlapping areas:*Managing knowledge (creating/acquiring, sharing, retaining, storing, using, updating, retiring)*Organisational learning*Intellectual capital*Knowledge economicsWithin (and across) these, knowledge management has to address issues relating to technology, people, culture and systems.Perhaps as a consequence of this diversity, the knowledge management literature is at present fragmented. Many of the most influential articles on knowledge management appear in journals in fields as diverse as information systems, general management, strategy, organisational sociology or human resources. The literature also often, somewhat misleadingly, presents the subject as split. Current examples of these "splits", which should rather be debates, include those between the "codification" and "collaboration" schools of thought, and between "Western" (meaning North American) and "Eastern" (meaning Japanese) approaches. The intention for this journal is not only to accommodate these and other perspectives, but also to seek common ground between them.

Knowledge and Information Systems (KAIS) provides an international forum for researchers and professionals to share their knowledge and report new advances on all topics related to knowledge systems and advanced information systems. This bi-monthly peer-reviewed archival journal publishes state-of-the-art research reports on emerging topics in KAIS, reviews of important techniques in related areas, and application papers of interest to a general readership. The journal focuses on knowledge systems and advanced information systems, including their theoretical foundations, infrastructure and enabling technologies. We solicit submissions of original research, and experience and vision papers that address this theme. Suggested topics include, but are not limited to, the following areas: Knowledge and information processing: theory, techniques and systems knowledge and data engineering decision support active and dynamic systems data sharing and warehousing temporal and spatial database processing intelligent information retrieval learning and adaptation knowledge discovery and data mining artificial life modelling and object orientation software re-engineering co-operativeness, interoperability and software re-usability human-computer interaction hypertext, hypermedia and multimedia data and knowledge visualization Underlying computational techniques soft computing (including neural nets, fuzzy logic, probabilistic reasoning, and rough set theory) evolutionary computing hybrid computing uncertainty management agent architectures and systems (including multi-agent scenarios) Platforms high performance comp, uting systems distributed intelligent systems mobile systems Application to specific problem domains biomedical systems geographical systems software information systems emerging applications (such as Internet technologies and digital libraries) We publish critical review papers to discuss the state of the art in particular areas, as well as state-of-the-art research reports. Accepted papers are grouped for publication so that individual issues focus on a small number of theme areas. In addition to archival papers, the journal also publishes significant on-going research in the form of Short Papers (limited to 3000 words), and very short papers on 'visions and directions' (no more than 1000 words, excluding bibliography). We conduct reviews in a timely fashion and inform authors of decisions with a target turnaround time of 3 months. Selected papers from relevant conferences are welcome. Good papers with high quality reviews can be accepted after the expansion and revision is verified by an Associate Editor of the Editorial Board. Conference organizers are invited to contact the Editor-in-Chief kais@cs.uvm.edu for further information.

Knowledge and Management of Aquatic Ecosystems (KMAE-Bulletin Français de la Pêche et de la Pisciculture since 1928) serves as a foundation for scientific advice across the broad spectrum of management and conservation issues related to freshwater ecosystems.The journal publishes articles, short communications, reviews, comments and replies that contribute to a scientific understanding of freshwater ecosystems and the impact of human activities upon these systems. Its scope includes economic, social, and public administration studies, in so far as they are directly concerned with the management of freshwater ecosystems (e.g. European Water Framework Directive, USA Clean Water Act, Canadian Water Quality Guidelines, …) and prove of general interest to freshwater specialists. Papers on insular freshwater ecosystems and on transitional waters or estuaries are welcome.

Knowledge-Based Systems is an international, interdisciplinary and applications-oriented journal. This journal focuses on systems that use knowledge-based (KB) techniques to support human decision-making, learning and action; emphases the practical significance of such KB-systems; its computer development and usage; covers the implementation of such KB-systems: design process, models and methods, software tools, decision-support mechanisms, user interactions, organizational issues, knowledge acquisition and representation, and system architectures.

This journal's current leading topics are but not limited to:

• Big data techniques and methodologies, data-driven information systems, and knowledge acquisition
• Cognitive interaction and intelligent human interfaces
• Recommender systems and E-service personalization
• Intelligent decision support systems, prediction systems and warning systems
• Computational and artificial intelligence based systems and uncertain information processes
• Swarm intelligence and evolutionary computing
• Knowledge engineering, machine learning-based systems and web semantics

The journal also welcomes papers describing novel applications of knowledge based systems in any human endeavor: ranging from financial technology to engineering to health science or any other domain impacted by Artificial Intelligence technologies and its associated techniques and systems.

To further the state of the art, Knowledge Based Systems now also reviews and publishes software and code through its new http://www.elsevier.com/about/content-innovation/original-software-publicationsOriginal Software Publication format to disseminate these important born digital knowledge elements.

Benefits to authors
We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our http://www.elsevier.com/wps/find/authorsview.authors/authorservicesauthor services.

Please see our http://www.elsevier.com/wps/find/journaldescription.cws_home/525448/authorinstructionsGuide for Authors for information on article submission. If you require any further information or help, please visit our support pages: http://support.elsevier.com