Abstract
UML class diagrams are typically used for representing a static knowledge about objects, their properties and relationships. In this paper we will demonstrate how inference capabilities can be added to static UML graphs resulting in knowledge diagrams. Knowledge diagrams can be built to gain a deeper understanding of a subject area, to prepare better presentations about the subject, to guide knowledge discovery, or to support inference. In this paper we introduce knowledge diagrams that allow for a controlled incompleteness and inconsistency.
This work was partly supported by Belk Foundation.
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Czejdo, B.D., Cummings, T. (2009). Extending Static Knowledge Diagrams to Include Dynamic Knowledge. In: Lytras, M.D., Ordonez de Pablos, P., Damiani, E., Avison, D., Naeve, A., Horner, D.G. (eds) Best Practices for the Knowledge Society. Knowledge, Learning, Development and Technology for All. WSKS 2009. Communications in Computer and Information Science, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04757-2_36
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DOI: https://doi.org/10.1007/978-3-642-04757-2_36
Publisher Name: Springer, Berlin, Heidelberg
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