Collection of Selected Papers of the II International Conference on Information Technology and Nanotechnology 2016
DOI: 10.18287/1613-0073-2016-1638-796-805
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Intelligent Analysis of Incomplete Data for Buildingformalontologies

Abstract: Abstract. The article presents models and methods of ontological data analysis aimed at identifying conceptual structure, or formal ontology, of the studied knowledge domain (KD). The realities of the accumulation of empirical data are reflected in model of generalized "object-properties" table and the incompleteness of this information implies the need for models of multi-valued logic. For the first time detailed models and method of accounting for "existence constraints", which can be known priori by the res… Show more

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Cited by 1 publication
(3 citation statements)
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“…Fundamental cognitive scaling procedure, on the other hand, is associated with the subject's introduction of additional information about studied KD. This information should be taken into account at the stage of binary formal context formation [10] and it has a significant effect on derivable formal concepts' structure. Of course, the genesis of the existence limits of the properties is not exhausted by the researcher's subjective actions during scales' designing for the property values of objects seen in the learning sample.…”
Section: Resultsmentioning
confidence: 99%
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“…Fundamental cognitive scaling procedure, on the other hand, is associated with the subject's introduction of additional information about studied KD. This information should be taken into account at the stage of binary formal context formation [10] and it has a significant effect on derivable formal concepts' structure. Of course, the genesis of the existence limits of the properties is not exhausted by the researcher's subjective actions during scales' designing for the property values of objects seen in the learning sample.…”
Section: Resultsmentioning
confidence: 99%
“…We will show that subject enters qualitatively new information about KD into the analysis while it implements a conceptual scaling. FCA practical application becomes problematic without taking this information into account (these problems were discussed in [10]). …”
Section: Subjective Aspects Of Conceptual Scalingmentioning
confidence: 99%
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