通过多维科学地图的知识发现：物种问题的案例
Knowledge discovery via multidimensional science maps: the case of the Species Problem
摘要：
科学制图（SM）是研究科学技术的组织和发展，是信息科学中一个迅速发展的领域。大量的可用数据使这种方法能够以经验的方式解决诸如主题，话语，领域或整个科学系统的历史发展等问题。基于相关方法的池，我们提出了各种地图的集成，以获得一种新的科学地图，我们称之为多维。其基本思想是将基于不同文献计量学指标的各种地图中最具信息量的关系结合起来，以便为知识动态研究提供丰富的结构，特别强调历史联系。作为一个概念的证明，我们部署在一个广泛的案例研究的历史主题，从生命科学，即在生物系统学的物种概念的辩论所提出的框架。
英文摘要：
Science mapping (SM), the study of the organization and development of science and technology, is a rapidly developing field within information science. The volume of available data allows this methodology to empirically address such issues as the historical development of topics, discourses, fields or the entire science system. Based on the pool of related methods, we are proposing an integration of various maps to obtain a novel kind of science map we call multidimensional. The basic idea behind is to combine the most informative relations available from various maps based on different bibliometric indicators, in order to produce a rich structrue for the study of knowledge dynamics, with special emphasis on causal-historical connections. As a proof of concept, we deploy the proposed framework in an extensive case study on a historical topic from the life sciences, namely, the debate on the species concept in biosystematics.
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