Abstract
The paper considers the problem of classifying countable-uncountable entities during the process of Knowledge Acquisition (KA) from texts. Since one of the main goals of KA is to identify types, means to distinguish new types, instances and individuals become particularly important. We review briefly related studies to show that the distinction countable-uncountable depends on the considered natural language, context usage and the domain; then countability is a perspective to look at a closed world since there is no universal general taxonomy. Finally we propose an internal ontological solution for mass objects which suits to a. project for generation of multilingual Natural Language (NL) explanations from Conceptual Graphs (CG).
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© 1998 Springer-Verlag Berlin Heidelberg
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Angelova, G. (1998). Manual acquisition of uncountable types in closed worlds. In: Mugnier, ML., Chein, M. (eds) Conceptual Structures: Theory, Tools and Applications. ICCS 1998. Lecture Notes in Computer Science, vol 1453. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0054926
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DOI: https://doi.org/10.1007/BFb0054926
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