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  • × author_ss:"Jurisica, I."
  • × theme_ss:"Information Resources Management"
  1. Jurisica, I.: Knowledge organization by systematic knowledge management and discovery (2000) 0.00 
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    Abstract
    We need to use dynamic knowledge organization approaches in order to facilitate effective access and use of domain knowledge. Although there are many approaches to knowledge organization available, it is a challenge to systematically organize evolving domains, because it is not feasible to rely only on humans to create relationships among individual knowledge sources. Additional problems arise because knowledge may not be consistently and completely described, and quality control may not always be in place in distributed knowledge environments. In this article we describe a generic approach to knowledge organization by using systematic knowledge management and applying knowledge-discovery techniques. We use a case-based reasoning system, called TA3, as a core component for knowledge management. Application of symbolic knowledge-discovery component of TA3 supports three main tasks: system optimization, knowledge evolution and evidence creation. To explain advantages of this approach, we use our experience from biomedical domains
    Type
    a
  2. Jurisica, I.; Mylopoulos, J.; Yu, E.: Using ontologies for knowledge management : an information systems perspective (1999) 0.00 
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    Abstract
    Knowledge management research focuses on the development of concepts, methods, and tools supporting the management of human knowledge. The main objective of this paper is to survey some of the basic concepts that have been used in computer science for the representation of knowledge and summarize some of their advantages and drawbacks. A secondary objective is to relate these techniques to information sciences theory and practice. The survey classifies the concepts used for knowledge representation into four broad ontological categories. Static ontology describes static aspects of the world, i.e., what things exist, their attributes and relationships. A dynamic ontology, on the other hand, describes the changing aspects of the world in terms of states, state transitions and processes. Intentional ontology encompasses the world of things agents believe in, want, prove or disprove, and argue about. Social ontology covers social settings, agents, positions, roles, authority, permanent organizational structures or shifting networks of alliances and interdependencies
    Type
    a

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