Artificial Intelligence
AI Magazine
Task-structure analysis for knowledge modeling
Communications of the ACM - Special issue on analysis and modeling in software development
Using explicit ontologies in KBS development
International Journal of Human-Computer Studies
Compatibility, standards, and software production
StandardView
Towards a standard upper ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
An Ontology for Quality Management — Enabling Quality Problem Identification and Tracing
BT Technology Journal
Multimedia Systems: An Overview
IEEE MultiMedia
Enterprise Knowledge Management
Computer
Data and Knowledge Management in Multimedia Systems
IEEE Transactions on Knowledge and Data Engineering
Guest Editor's Introduction: Knowledge-Management Systems-Converting and Connecting
IEEE Intelligent Systems
Using AI in Knowledge Management: Knowledge Bases and Ontologies
IEEE Intelligent Systems
Guest Editors' Introduction: Ontologies
IEEE Intelligent Systems
What Are Ontologies, and Why Do We Need Them?
IEEE Intelligent Systems
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Knowledge management technology
IBM Systems Journal
Knowledge portals and the emerging digital knowledge workplace
IBM Systems Journal
General Perspectives on Knowledge Management: Fostering a Research Agenda
Journal of Management Information Systems
Educational multimedia systems: the past, the present, and a glimpse into the future
Proceedings of the international workshop on Educational multimedia and multimedia education
Multimedia platform to support knowledge processes anytime and anywhere
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Special Issue on Knowledge Engineering
Why web 2.0 is good for learning and for research: principles and prototypes
Proceedings of the 17th international conference on World Wide Web
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Standards and models of processes - such as ISO/lEC 9000 standard for deploying quality management systems - have been developed for international organizations to promote the utilization of best managerial and engineering practices. However, given their conceptual density, a large number of concepts, composite concepts, and interrelationships, understanding them cannot be considered a trivial cognitive task for new readers and decision makers. Consequently, some IT-supported systems have been used to improve such an understanding. These tools provide basic searching services via keywords or catalog indices on monolithic text-based, hypertext technology, or multimedia documents. As a result, their system performance, correctness, user satisfaction, and lately understanding metrics, are still unsatisfactory. In this paper, we support the hypothesis that IT systems, where knowledge structures are explicitly codified, such as ontology-based knowledge management systems (o-KMS), can provide a plausible better solution. To support this hypothesis, we firstly report a conceptual survey on KMS and KM foundations (IT for KMS, KM Processes) to describe the capabilities of KMS and supporting needs for KM processes. Secondly, we describe the profiles of standards and models of process, and review related research on KMS. Finally, we present the problem-solution links, and discuss how o-KMS might provide a better support. We conclude that research results to date require further advance.