Knowledge Mining Based on the Valid Generalized Syllogism MMI-3 with the Quantifier ‘Most’
DOI: 10.54647/isss120347 32 Downloads 4031 Views
Author(s)
Abstract
This paper firstly presents knowledge representations of generalized syllogisms, and then uses relevant facts and reasoning rules to conduct knowledge reasoning on the basis of the generalized syllogism MMI-3 with the quantifier ‘most’. The main conclusion is that there are at least the other 25 valid generalized syllogisms that can be deduced from the validity of this syllogism. The paper achieves the initial goal of knowledge mining for this generalized syllogism logical fragment.
Keywords
generalized syllogisms; knowledge representation; knowledge reasoning; knowledge mining
Cite this paper
Baoxiang Wu,
Knowledge Mining Based on the Valid Generalized Syllogism MMI-3 with the Quantifier ‘Most’
, SCIREA Journal of Information Science and Systems Science.
Volume 8, Issue 2, April 2024 | PP. 84-94.
10.54647/isss120347
References
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