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An autonomous knowledge acquisition system toward the ubiquitous knowledge management

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  1. Abstract
  2. Introduction
  3. Related literatures
    1. Research to automate the process for knowledge acquisition
    2. Research to minimize user's computing activity
    3. Research to utilize context
    4. Research to manage knowledge based on context
  4. Conceptual framework
  5. Ubiquitous computing technology-based KMS (ubiKMS)
    1. Context acquisition subsystem
    2. Context inference subsystem
    3. Ontology base subsystem
  6. Prototype implementation: Context-based Knowledge Acquisition System (CKAS)
    1. Speech-to-text module
    2. Word steaming module
    3. Word vector tool
    4. SVM module
    5. Performance
  7. Concluding remarks
  8. References

Knowledge management (KM), which pursues dynamic knowledge creation and sharing within and among organizations, had been boomed since the end of the last century. However, because of some technical limitations as well as cultural barriers, the concept of KM has been getting buried alive, nowadays, in spite of its tremendous potentials to organizations. One of the most serious problems that conventional KM has been pointed out tardy and ineffective acquisition of knowledge, which initiates the tragedy in knowledge revolution. Without knowledge to be managed, naturally the usability of knowledge management must be doubted. Therefore, this paper suggests an amended KM framework, especially focused on the autonomous knowledge acquisition process. The suggested methodology for knowledge acquisition is basically processed in an automated manner, but follows the same pattern of human experts' activities for acquiring knowledge by deploying the capabilities of ubiquitous computing technologies. Based on the proposed methodology, this paper also clarifies the relationship between context and knowledge, and hence defines the concept of contextual knowledge. To validate the feasibility of the proposed concepts, CKAS (Context-based Knowledge Acquisition System), a prototype system, is implemented.

[...] Therefore, a new computing pattern that promotes autonomous knowledge acquisition with considering the quality of the acquired Research to utilize context The context aware computing is a new computing paradigm which deploys the concept of context as well of the functionality of autonomous automation. Using context, users can experience more user-centric, therefore friendly, services in an unconscious and convenient manner. A context aware application adapts according to the location of use, the collection of nearby people, hosts, and accessible devices, as well as to changes to such things over time (Schilit et al., 1994). [...]


[...] By storing knowledge with its context using the ontology, more autonomous expansion of knowledge as well as accurate application of knowledge can be expected Prototype Implementation: Context-based Knowledge Acquisition System (CKAS) The prototype system is focused on the knowledge acquisition process only. Based on the context acquisition subsystem and context inference subsystem, the prototype system is designed to automatically sense and infer the context so that knowledge can be accumulated without human involvement. Fig.5 shows the workflows of the prototype system. [...]


[...] The proposed methodology for autonomous knowledge acquisition can make knowledge workers accumulate their knowledge in spite of themselves, whatever it is ordinary or specialized. Furthermore, the methodology helps knowledge workers as well as knowledge users truly understand how to use given knowledge, by interpreting the usage of the given one in terms of context which explains when and for what the given knowledge is possibly used. Context-specific knowledge, namely contextual knowledge, can enhance the quality of knowledge, and hence enables fertilized knowledge sharing. [...]

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