语料库中句法结构的识别:在项目驱动的学科中寻找知识领域的方法

IF 0.3 Q4 ENGINEERING, MULTIDISCIPLINARY
Antony de Jesús Henao-Roqueme, Carlos Mario Zapata-Jaramillo
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引用次数: 0

摘要

知识体系和项目管理标准被定义为从业者广泛应用于管理特定学科项目的一套行之有效的方法和实践。由于知识体系依赖于学科,当它们被应用于学科之外时,它们就无法达到目的。为了改进这些知识体系,通过对它们进行比较,提出了一些建议。特别是,一些作者建议采用新的元素,如知识领域,作为比较过程的结果。然而,这样的建议是凭经验得出的,它们取决于作者的判断。这种建议可以通过在比较知识体系时正式采用新的要素来加以改进。因此,在本文中,我们通过识别项目管理语料库中的句法结构,提出了一种在比较标准时采用知识领域的形式化方法。通过正式采用知识领域,我们可以以独立于作者的方式改进知识体系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identificación de estructuras sintácticas en corpus: un enfoque para encontrar áreas de conocimiento en disciplinas dirigidas por proyectos
Bodies of knowledge and project management standards are defined as sets of proven methods and practices widely applied by practitioners for managing projects in particular disciplines. Since bodies of knowledge are discipline-dependent, when they are applied outside their discipline, they fail in accomplishing their purpose. Aiming to improve such bodies of knowledge, some proposals are made by performing comparisons among them. Particularly, some authors propose the adoption of new elements such as knowledge areas as a result of comparison processes. However, such proposals are empirically obtained and they are dependent on the author’s judgment. Such proposals can be improved by formalizing the adoption of new elements when comparing bodies of knowledge. Consequently, in this paper, we propose a formalization method for adopting knowledge areas when comparing standards by identifying syntactic structures in project management corpus. By formalizing knowledge area adoption, we allow for improving bodies of knowledge in an author-independent way.
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来源期刊
UIS Ingenierias
UIS Ingenierias ENGINEERING, MULTIDISCIPLINARY-
自引率
33.30%
发文量
27
审稿时长
12 weeks
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