如何将索引词汇表的热图用于信息搜索目的？
How can heat maps of indexing vocabularies be utilized for information seeking purposes?
摘要：
通过利用信息客体之间的相似性和不相似性以结构化的方式浏览信息空间的能力对于知识发现是至关重要的。知识地图使用可视化来深入了解大规模信息空间的结构，但距离适用于搜索还很远。本文提出了一个用例，通过从索引词汇表中提取的共词关系的热图可视化来增强搜索项推荐。通过对比不同“热度”的区域，用户能够更容易地指示所讨论的领域的主流区域。
英文摘要：
The ability to browse an information space in a structured way by exploiting similarities and dissimilarities between information objects is crucial for knowledge discovery. Knowledge maps use visualizations to gain insights into the structure of large-scale information spaces, but are still far away from being applicable for searching. The paper proposes a use case for enhancing search term recommendations by heat map visualizations of co-word relation-ships taken from indexing vocabulary. By contrasting areas of different "heat" the user is enabled to indicate mainstream areas of the field in question more easily.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
