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- W1496751839 abstract "We suggest that relational conceptualizations are not adequate for representing knowledge expressed in natural languages at the computer level. First, one does not think explicitly in terms of functions and relations (however implicitly they exist). Moreover, one does think in the terms of image of the real world, but not in the terms of the world objects explicitly. This image is determined by perception and is given by means of the senses. This means that image entities, called percepts, and real objects are different objects. Thus, natural language sentences can express only the properties of object images. A structure of percepts is defined in terms of the same primitives that we use to interpret natural sentences. In the percept conceptualization, functions and relations do not exist; only attributes and values exist as atomic conceptual primitives, and slots as molecular ones. A slot is an attribute sequence (path) with a value at the last position. Elementary percept properties are built up from slots (one input slot — subject, and a set of output slots — complements) and are considered as substitutes for simple sentences of natural language. Percept domains are defined and finally, the percept knowledge representation scheme is presented as a two level percept conceptualization." @default.
- W1496751839 created "2016-06-24" @default.
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- W1496751839 date "1991-01-01" @default.
- W1496751839 modified "2023-09-25" @default.
- W1496751839 title "Percept conceptualizations and their knowledge representation schemes" @default.
- W1496751839 cites W2152475379 @default.
- W1496751839 doi "https://doi.org/10.1007/3-540-54563-8_87" @default.
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