Adding Cognition to the Semanticscience Integrated Ontology

Stephen K. Reed, M. Dumontier
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引用次数: 2

Abstract

The goal of the NIMH RDoC initiative is to establish a biological basis for mental illness that includes linking cognition to molecular biology. A key challenge lies in how to represent such large, complex, and multi-scale knowledge in a manner that can support computational analysis, including query answering. Formal ontologies, such as the Semanticscience Integrated Ontology (SIO), offer a scaffold in which complex domain knowledge such as neurological and cognitive functions can be represented and linked to knowledge of molecular biology. In this article, we explore the use of SIO to represent concepts in molecular biology and in cognition. We extend SIO to traditional cognitive topics by illustrating axioms for both an information-processing and a neuroscience perspective on reading. We next discuss the NIMH RDoC taxonomy and include SIO axioms for the units-of-analysis and functions-of-behavior dimensions. An example demonstrates its use of deductive reasoning to establish causal relations across RDoC dimensions. From a broader perspective this article demonstrates how informatics can assist in integrating work in clinical psychology, cognitive psychology, cognitive neuroscience, computer science, molecular biology, and philosophy.
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为语义科学集成本体增加认知
NIMH RDoC计划的目标是建立精神疾病的生物学基础,包括将认知与分子生物学联系起来。一个关键的挑战在于如何以一种能够支持计算分析(包括查询回答)的方式表示如此庞大、复杂和多尺度的知识。形式化本体,如语义科学集成本体(SIO),提供了一个框架,其中复杂的领域知识(如神经学和认知功能)可以被表示并与分子生物学知识联系起来。在这篇文章中,我们探讨了使用SIO来表示分子生物学和认知中的概念。我们将SIO扩展到传统的认知主题,从信息处理和神经科学的角度阐述阅读的公理。接下来,我们将讨论NIMH RDoC分类法,并包括分析单元和行为功能维度的SIO公理。一个示例演示了它使用演绎推理来建立跨RDoC维度的因果关系。从更广泛的角度来看,本文展示了信息学如何帮助整合临床心理学、认知心理学、认知神经科学、计算机科学、分子生物学和哲学的工作。
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