Semantics Computation: Towards Identifying Answers from Problem Expressions

Yucong Duan
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引用次数: 11

Abstract

Multiple semantics may be bundled with a concept(CPT) or an expression composed of concepts. We extend an investigation on fundamental semantics from concepts of type (TYPE) and instance (INS) to reveal relationships of expressions and semantics on problem expressions vs. answers. Core semantics of unlimited and completeness are identified as classification characteristics for clarifying and formalizing semantics of expressions towards bridging the understanding of the integration of semantics of problem expressions and answers. An approach of semantic computation which distinguishes from current conceptual modeling and problem solving is proposed with demonstrative cases. The framework of the approach is presented from core concepts, knowledge management and problem solving perspectives.
语义计算:从问题表达式中识别答案
多个语义可以与一个概念(CPT)或由概念组成的表达式捆绑在一起。我们从类型(type)和实例(INS)的概念扩展了对基本语义的研究,揭示了问题表达与答案上的表达式和语义的关系。核心语义的无限性和完备性被认为是表达语义清晰化和形式化的分类特征,有助于理解问题表达和答案语义的整合。提出了一种区别于现有概念建模和问题求解的语义计算方法。该方法的框架从核心概念、知识管理和问题解决的角度提出。
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