ONTOLOGY的名词解释

本文探讨了本体论在知识表示中的作用及其定义,包括作为形而上学的一部分,研究存在的本质;在人工智能领域,本体论被用来定义特定领域的基本术语、关系以及规则,以实现知识的共享和重用。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

金山词霸说The branch of metaphysics that deals with the nature of being.(本体论:对自然存在的研究,属于形而上学理论的分支)。

 

Ontology:领域知识表示的概念模型,以及相关   推理模型的名称。例如,集成电路的对象层次模型,地图空间关系的对象关系数据模型等)

用于知识表达、知识共享及重用。



Neches et al.1991an ontology defines the basic terms and relations comprising the vocabulary

of a topic area, as well as the rules for combining terms and relations to define extensions to the vocabulary. 一个ontology 定义了组成主题领域的词汇的基本术语和关系,以及用于组合术语和关系以定义词汇的外延的规则。

 

Gruber (1993) an ontology is an explicit specification of a conceptualization. ontology 是概念化的一个形式的规格说明。

 

Wielinga & Schreiber (1993) ontology is a theory of what entities can exist in the mind of a knowledge agent. ontology 是能存在于知识代理人脑中元件之原理。

 

Guarino (1995) an ontology is an explicit specification of a conceptualization. ontology 是对于概念化的明确表达。

 

Guarino & Giaretta (1995) an ontology is an explicit, partial account of a conceptualization. ontology 是概念化的描述。

 

William and Austin (1999) ontology 是用于描述或表达某一领域知识的一组概念或术语,可用以组织知识库较高层次的知识抽象,也可用来描述特定领域的知识。

 

Chandrasekaran, et al. (1999) ontology 属于人工智能领域中的内容理论(content theory)其研究特定领域知识的对象分类,对象属性和对象间的关系,它为领域知识的描述提供术语。




 

### Ontology in Computer Science and Data Modeling In the context of computer science and data modeling, an ontology is a formal representation of knowledge as a set of concepts within a domain and the relationships between those concepts. It provides a structured framework for organizing information that can be used by machines to understand complex domains and perform reasoning tasks[^1]. An ontology typically includes: - **Classes (or Concepts)**: These represent categories or types of objects within the domain. - **Properties (or Attributes)**: Characteristics or features associated with classes. - **Relationships**: Links between different entities or classes, defining how they interact or relate to one another. The use of ontologies in artificial intelligence and semantic web technologies allows systems to interpret data more effectively. For instance, when applied to lifelong learning environments, ontologies help manage evolving datasets where new classes are introduced over time while preserving existing ones[^2]. Here’s a simple example illustrating how you might define part of an ontology using OWL (Web Ontology Language): ```owl Prefix(:=<http://www.semanticweb.org/user/ontologies/example#>) Prefix(owl:=<http://www.w3.org/2002/07/owl#>) Ontology(<http://www.semanticweb.org/user/ontologies/example> Declaration(Class(:Animal)) Declaration(Class(:Mammal)) SubClassOf(:Mammal :Animal) Declaration(Class(:Dog)) SubClassOf(:Dog :Mammal) ) ``` This snippet defines basic hierarchical relationships among `Animal`, `Mammal`, and `Dog`.
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值