Abstract
Using the underlying Unified Modeling Language (UML) for knowledge modeling, we discuss how to create a non-graphical interface to UML models and show how this interface can be used to capture knowledge from a sample domain specified in a natural language. We demonstrate the techniques of transforming a natural language text into standard sentences consisting of three tuples: known information – relationship – unknown information. We also discuss how to integrate the standard sentences with existing knowledge through a guided knowledge-discovery process in which more precise information is requested and added to the diagram in a controlled manner.
Based on this knowledge-processing methodology, a software prototype was developed. Using such software, existing PDAs or specialized hardware can allow the student to process the knowledge. These handheld devices can store, process, and retrieve knowledge from Knowledge Databases. We refer to such devices as Personal Knowledge Assistants (PKA).
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Czejdo, B.D., Biguenet, J., Biguenet, J., Czejdo, J. (2004). A Personal Knowledge Assistant for Knowledge Storing, Integrating, and Querying. In: Bussler, C., et al. Web Information Systems – WISE 2004 Workshops. WISE 2004. Lecture Notes in Computer Science, vol 3307. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30481-4_14
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DOI: https://doi.org/10.1007/978-3-540-30481-4_14
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