Event Inference with Relation and Meta-relation Type Hierarchies in Conceptual Structure Theory

Event Inference with Relation and Meta-relation Type Hierarchies in Conceptual Structure Theory
复制标题

概念结构理论中关系和元关系类型层次结构的事件推理

DOI:
10.1080/08839514.2014.875682
复制
发表时间:
2014
影响因子:
2.8
通讯作者:
Ken Kaneiwa
Ken Kaneiwa
中科院分区:
计算机科学4区
文献类型:
--
作者:
Philip H. P. Nguyen;Ken Kaneiwa

文献摘要

相似文献

□本文提出了一种通过使用在概念结构理论下形式化的本体从事件断言执行自动推理的方法。首先介绍一个上层事件本体,作为如何构建本体以及如何将现实生活中的事件断言及其关系建模为其类型层次结构的示例。这里区分了三种不同的类型:事件类型作为相似性质的事件的基本分类,事件关系类型作为事件类型的谓词,事件元关系类型作为事件类型的“谓词的谓词”,具有事件类型及其属性之间的正式关系。所提出的形式化可以被语义网上的搜索引擎和特定话语领域的查询应答系统所利用。
□ This article proposes a method to perform automated inference from event assertions through the use of an ontology formalized under Conceptual Structure Theory. An upper event ontology is first presented as an example of how the ontology is built and how real-life event assertions and their relations are modeled into its hierarchies of type. Three different types are distinguished: an event type as a basic classification of events of similar nature, an event relation type as a predicate on event types, and an event meta-relation type as a “predicate of predicates” on event types, with formal relationships between them and their properties elicited. The proposed formalization could be leveraged by search engines on the Semantic Web and query-answering systems in specific domains of discourse.