Pragmatic Ontology Design Pattern for Contextual Integration

Yew Kwang Hooi, M. Fadzil Hassan, M. A. Sharifff
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Abstract

Critical systems require continuous collection and integration of knowledge from the environment. The challenge is effective integration of knowledge in a dynamic environment. This work proposes a knowledge model that is adaptable to changes. However, there is a lack of ontology structure and reasoning that reacts immediately to availability of a new piece of information in real-time. This paper presents a novel ontology design pattern that facilitates automatic integration of knowledge through event detection and context analysis. Theoretical analysis and a use case are used to assess the model. The work claims a contribution towards developing mechanism for ontology pragmatics and addressing challenges of the smart computing.
面向上下文集成的语用本体设计模式
关键系统需要不断地从环境中收集和整合知识。挑战在于如何在动态环境中有效地整合知识。这项工作提出了一个适应变化的知识模型。然而,缺乏对新信息的可用性立即做出实时反应的本体结构和推理。本文提出了一种新的本体设计模式,通过事件检测和上下文分析实现知识的自动集成。理论分析和用例用于评估模型。该工作对开发本体语用学机制和解决智能计算的挑战做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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