KOBPSY, a knowledge base in psychology and behavioral sciences

A. G. Castro, Isabel Barth, E. Weichselgartner
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Abstract

In this paper we present the Semantic Enhancement for the Open Journal Systems, SE4OJS, to generate semantically annotated documents. With this tool, we created a knowledgebase for psychology, KOBPSY. We have identified structural document elements such as authors, sections, and domain knowledge about diseases, population, treatments and more. Our corpus of documents comes from PsychOpen. The datasets we are building for each article include i) the RDF description of article metadata, e.g. information on title, keywords, authors and editors; ii) structural information such as sections, section types, paragraphs, in-text citations; and also, iii) RDF for content and annotations. We are structuring the annotations by using the Annotation Ontology. Our approach makes it possible to build concept-based queries; we are delivering a flexible, reusable and adaptable set of tools for metadata enrichment and semantic processing of scientific documents in psychology.
这是一个心理学和行为科学的知识库
在本文中,我们提出了对开放日志系统SE4OJS的语义增强,以生成语义注释的文档。有了这个工具,我们创建了一个心理学知识库,KOBPSY。我们已经确定了结构文档元素,如作者、章节和关于疾病、人口、治疗等的领域知识。我们的文档语料库来自PsychOpen。我们正在为每篇文章构建的数据集包括i)文章元数据的RDF描述,例如标题、关键词、作者和编辑的信息;Ii)结构信息,如章节、章节类型、段落、文内引用;以及iii)内容和注释的RDF。我们正在使用注解本体来构造注解。我们的方法使构建基于概念的查询成为可能;我们提供了一套灵活的、可重用的、适应性强的工具,用于心理学科学文献的元数据丰富和语义处理。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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