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New TCOI triple model extends data representation with three types of negation

This paper introduces the TCOI triple, an extension of the classical triple data model designed to represent three distinct types of negation: contradictory, opposite, and intermediary. By incorporating these negations, the TCOI triple enhances the model's capability to express and reason about complex negative information. The research also explores the application of TCOI triple implication reasoning in counterfactual scenarios and proposes a truth-value algorithm for its calculation. AI

IMPACT Enhances AI's ability to process and reason with complex negative information in data models.

RANK_REASON The cluster contains an academic paper detailing a new conceptual model for data representation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New TCOI triple model extends data representation with three types of negation

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The cluster contains an academic paper detailing a new conceptual model for data representation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Zhenghua Pan ·

    Three Types of Negation of Triple and its Elements and an Extension of Triple

    arXiv:2609.08271v1 Announce Type: new Abstract: In various data models, the classical triple is a typical semantic data model. However, due to the design of the triple as a simple structure for representing positive assertions, it cannot sufficiently express different forms of ne…