基于系统中实际使用的词汇表构建分类法,Leopoldina.pl用例

Agnieszka Łętowska
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引用次数: 0

摘要

分类法是在语义领域对世界进行排序的尝试。它们也是知识组织的有用工具,便于领域信息的检索。分类法或叙词表的创建需要广泛和彻底的分析过程,从各种来源参与信息和知识。这通常是一个长期的活动。这种传统的方法对于Leopoldina.pl平台上聚集的知识组织来说是失败的。该服务旨在呈现Wrocław大学(UWr)的异构和差异化数字资源。由于在一定时期内没有成功建立统一的分类法,提出了一种自下而上的分类法。在Leopoldina.pl平台上索引的整个词汇范围被划分为学科类别,这些类别被用作分类法和词典创建的基础。本文描述了自底向上的分类法创建过程。介绍了用于创建域字典的编程工具(Python)。我们还为自动知识处理和分类创建提供了外部有组织的知识来源(如维基百科、GBIF、全球生物多样性信息设施和其他特定领域的专题门户)的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building taxonomies on the base of vocabulary in real use in the system, Leopoldina.pl use case
Taxonomies are attempts of ordering world in semantic field. They are also a useful tool of knowledge organization, facilitating domain information retrieval. Taxonomy or thesauri creation requires extensive and thorough analytical process, engaging information and knowledge from variety of sources. Typically it is a longterm activity. Such traditional approach failed for knowledge organization gathered on Leopoldina.pl platform. The aim of the service is to present heterogenic and differentiated digital resources of University of Wrocław (UWr). Due to lack of success of creation an universal taxonomy in given period of time, an bottom-up approach was proposed. The entire range of vocabulary indexed in Leopoldina.pl platform was divided into discipline categories which were used as the base for taxonomies and thesauri creation. In current paper we describe the bottom-up process of taxonomy creation. Programming tools (in Python) used for domain dictionaries creation are presented. We provided also evaluation of external organized knowledge sources (like Wikipedia, GBIF ̶ the Global Biodiversity Information Facility and other domain-specific thematic portals) for automatic knowledge handling and taxonomies creation.
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