ontology

简明释义

英[ɒnˈtɒlədʒi]美[ɑːnˈtɑːlədʒi]

n. 本体论；存在论；实体论

英英释义

单词用法

同义词

反义词

例句

1.The ontology is technically based on the ontology Web Language (OWL).

该本体论的技术基础是网络本体语言(owl)。

2.Components of OWL Web Ontology language.

OWLWeb存在论语言的组成部分。

3.Finally the ontology adds events as a fundamental to SOA concept.

最后，本体将事件也加入到SOA概念的基础范畴。

4.Business services search ontology support.

业务服务搜索本体(ontology)支持。

5.To create the ontology model, complete the following steps

要创建本体模型，请完成以下步骤

6.Programmatically extract individuals from an ontology.

编程从本体中提取个体。

7.Developing a robust ontology is crucial for improving data interoperability between different systems.

开发一个强大的本体对于改善不同系统之间的数据互操作性至关重要。

8.The project aims to create an ontology that can be used to categorize various types of digital content.

该项目旨在创建一个可以用于对各种数字内容进行分类的本体。

9.In computer science, an ontology refers to a formal representation of knowledge as a set of concepts within a domain, and the relationships between those concepts.

在计算机科学中，本体指的是对知识的正式表示，作为一个领域内一组概念及其之间关系的集合。

10.In artificial intelligence, an ontology provides a shared vocabulary that enables better communication between agents.

在人工智能中，本体提供了一个共享的词汇，使得代理之间能够更好地沟通。

11.The medical ontology helps in standardizing the terminology used in healthcare.

医学本体有助于标准化医疗保健中使用的术语。

作文

In the realm of philosophy and computer science, the term ontology refers to the study of being and existence. It seeks to understand the nature of reality, the categories of being, and the relationships that exist between different entities. In essence, ontology is concerned with what exists in the world and how these entities can be categorized and related to one another. This concept is not only crucial in philosophical discussions but also serves as a foundational element in various fields, including information science and artificial intelligence.In information science, ontology plays a vital role in organizing and structuring information. For instance, when developing databases or knowledge management systems, an ontology helps define the types of data that will be stored and how they interrelate. By establishing a clear framework, it allows for better data retrieval and sharing. This is particularly important in today’s digital age, where vast amounts of information are generated every second. Without a proper ontology, it would be nearly impossible to manage this data effectively.Moreover, in artificial intelligence, ontology is essential for enabling machines to understand and process human language. Natural language processing (NLP) systems rely on ontologies to interpret the meaning behind words and phrases accurately. For example, if a machine encounters the word 'bank', an ontology can help it determine whether it refers to a financial institution or the side of a river, depending on the context. This capability is crucial for developing intelligent systems that can interact seamlessly with humans.The significance of ontology extends beyond technical applications; it also influences our understanding of the world. Philosophers like Aristotle have contributed significantly to ontology by categorizing different forms of existence and exploring concepts such as substance, essence, and identity. These discussions have shaped various disciplines, including metaphysics, epistemology, and ethics. By examining ontology, we can gain insights into fundamental questions about life, existence, and the nature of reality itself.Furthermore, the evolution of ontology in the digital age has led to the emergence of semantic web technologies. The semantic web aims to make internet data machine-readable, and ontologies are at the heart of this initiative. They provide a common vocabulary and structure that enable different systems to communicate and share information more effectively. For example, in e-commerce, an ontology can categorize products and services, allowing for better search results and user experiences.In conclusion, ontology is a multifaceted concept that bridges philosophy and technology. Its implications are far-reaching, impacting how we organize information, develop intelligent systems, and understand the nature of existence. As we continue to advance in technology and explore the complexities of reality, the study of ontology will remain a critical area of inquiry, guiding us in our quest for knowledge and understanding. Whether in academic research or practical applications, ontology serves as a cornerstone for comprehending the intricate web of relationships that define our world.

本体论在哲学和计算机科学领域中指的是对存在和存在状态的研究。它试图理解现实的本质、存在的类别以及不同实体之间的关系。简而言之，本体论关注的是世界上什么是存在的，以及这些实体如何被分类和相互关联。这个概念不仅在哲学讨论中至关重要，而且在信息科学和人工智能等多个领域中也起着基础性作用。在信息科学中，本体论在组织和结构化信息方面发挥着重要作用。例如，在开发数据库或知识管理系统时，本体论帮助定义将要存储的数据类型及其相互关系。通过建立一个清晰的框架，它可以更好地进行数据检索和共享。这在当今数字时代尤为重要，因为每秒钟都会生成大量的信息。如果没有适当的本体论，有效管理这些数据几乎是不可能的。此外，在人工智能领域，本体论对于使机器理解和处理人类语言至关重要。自然语言处理（NLP）系统依赖于本体论来准确解释单词和短语背后的含义。例如，如果机器遇到“银行”这个词，本体论可以帮助它确定是指金融机构还是河岸，这取决于上下文。这种能力对于开发能够与人类无缝互动的智能系统至关重要。本体论的重要性超越了技术应用；它还影响我们对世界的理解。像亚里士多德这样的哲学家通过对存在的不同形式进行分类，并探讨物质、实质和身份等概念，为本体论做出了重要贡献。这些讨论塑造了形而上学、认识论和伦理学等多个学科。通过研究本体论，我们可以获得关于生命、存在和现实本质的基本问题的深入见解。此外，随着数字时代本体论的发展，语义网技术的出现也随之而来。语义网旨在使互联网数据可供机器读取，而本体论则是这一倡议的核心。它们提供了一个共同的词汇和结构，使不同的系统能够更有效地沟通和共享信息。例如，在电子商务中，本体论可以对产品和服务进行分类，从而改善搜索结果和用户体验。总之，本体论是一个多面向的概念，连接了哲学和技术。它的影响深远，影响着我们如何组织信息、开发智能系统以及理解存在的本质。随着我们在技术上的不断进步和对现实复杂性的探索，本体论的研究将继续成为一个关键的探究领域，引导我们在追求知识和理解的过程中。无论是在学术研究还是实际应用中，本体论都是理解定义我们世界的复杂关系网络的基石。