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Content Characteristics of Knowledge Integration in the eHealth Field: An Analysis Based on Citation Contexts

机译：电子保健领域知识集成的内容特征：基于引用语境的分析

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Purpose This study attempts to disclose the characteristics of knowledge integration in an interdisciplinary field by looking into the content aspect of knowledge. Design/methodology/approach The eHealth field was chosen in the case study. Associated knowledge phrases (AKPs) that are shared between citing papers and their references were extracted from the citation contexts of the eHealth papers by applying a stem-matching method. A classification schema that considers the functions of knowledge in the domain was proposed to categorize the identified AKPs. The source disciplines of each knowledge type were analyzed. Quantitative indicators and a co-occurrence analysis were applied to disclose the integration patterns of different knowledge types. Findings The annotated AKPs evidence the major disciplines supplying each type of knowledge. Different knowledge types have remarkably different integration patterns in terms of knowledge amount, the breadth of source disciplines, and the integration time lag. We also find several frequent co-occurrence patterns of different knowledge types. Research limitations The collected articles of the field are limited to the two leading open access journals. The stem-matching method to extract AKPs could not identify those phrases with the same meaning but expressed in words with different stems. The type of Research Subject dominates the recognized AKPs, which calls on an improvement of the classification schema for better knowledge integration analysis on knowledge units. Practical implications The methodology proposed in this paper sheds new light on knowledge integration characteristics of an interdisciplinary field from the content perspective. The findings have practical implications on the future development of research strategies in eHealth and the policies about interdisciplinary research. Originality/value This study proposed a new methodology to explore the content characteristics of knowledge integration in an interdisciplinary field.
机译：目的，本研究试图通过研究知识的内容方面，揭示跨学科领域的知识集成的特征。设计/方法/方法在案例研究中选择了电子保健领域。通过施加干匹配方法，从eHECHEATH论文的引文环境中提取了引用论文与他们的参考文献之间共享的相关知识短语（AKP）。提出了一种考虑域中知识功能的分类架构，以对所识别的AKP进行分类。分析了每种知识类型的源学科。应用定量指示剂和共同发生分析，公开了不同知识类型的整合模式。调查结果注释的AKP证据证明提供各种知识的主要学科。在知识金额，源学科的广度和集成时间滞后，不同的知识类型具有显着不同的集成模式。我们还发现了几种不同知识类型的经常共同发生模式。研究限制该领域的收集物品仅限于两个领先的开放式学术期刊。提取AKP的干匹配方法无法识别具有相同含义的那些短语，但用不同的茎表表达。研究主题的类型占据了公认的AKP，该类型呼吁改善对知识单位的更好知识集成分析的分类模式。实际意义本文提出的方法从内容视角来揭示了跨学科领域的知识集成特征。调查结果对电子健康研究策略的未来发展以及跨学科研究的政策具有实际意义。本研究提出了一种新方法，探讨了跨学科领域的知识集成的内容特征。

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