文章基本信息

标题：Knowledge Acquisition from Critical Annotations
本地全文：下载
作者：Tamás Mészáros ; Margit Kiss
期刊名称：Information
电子版ISSN：2078-2489
出版年度：2018
卷号：9
期号：7
页码：179-188
DOI：10.3390/info9070179
出版社：MDPI Publishing
摘要：Critical annotations are important knowledge sources when researching one’s oeuvre. They describe literary, historical, cultural, linguistic and other kinds of information written in natural languages. Acquiring knowledge from these notes is a complex task due to the limited natural language understanding capability of computerized tools. The aim of the research was to extract knowledge from existing annotations, and to develop new authoring methods to facilitate the knowledge acquisition. After structural and semantic analysis of critical annotations, authors developed a software tool that transforms existing annotations into a structured form that encodes referral and factual knowledge. Authors also propose a new method for authoring annotations based on controlled natural languages. This method ensures that annotations are semantically processable by computer programs and the authoring process remains simple for non-technical users.
关键词：critical annotations; knowledge acquisition; controlled natural languages critical annotations ; knowledge acquisition ; controlled natural languages