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DiscoverPath:一个知识提炼和检索系统,用于跨学科的生物医学研究

Yu-Neng Chuang¹, Guanchu Wang¹, Chia-Yuan Chang²

¹Rice University.

Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management

|June 4, 2024

概括

DiscoverPath是一款用于生物医学研究的新型知识图 (KG) 搜索引擎. 它通过使用命名实体识别 (NER) 和部分语音 (POS) 标签来可视化研究连接来增强文章的发现.

科学领域:

生物医学研究生物医学研究
信息科学信息科学信息科学
计算机科学计算机科学

背景情况:

学术出版物呈指数级增长,使得有效的检索变得困难.
传统的搜索引擎在跨学科研究和各种术语方面扎.
需要先进的工具来帮助研究人员发现相关的文章.

研究的目的:

为了介绍DiscoverPath,一个基于生物医学研究的知识图表搜索引擎.
为了提高用户在发现相关查询和文章的体验.
促进跨学科的知识探索.

主要方法:

使用命名实体识别 (NER) 和部分语音 (POS) 标记来从摘要中提取术语和关系.
从提取的信息构建了一个知识图 (KG).
开发了一个专注的子图可视化和一个查询推系统.
集成了一个可访问的图形用户界面 (GUI),以实现直观的交互.

主要成果:

DiscoverPath有效地提取术语和关系来构建一个KG.
该系统通过呈现聚焦的子图来减少信息过载.
查询建议使搜索查询的代改进成为可能.
图形界面提供了直观的可视化和详细的文章信息.

结论:

DiscoverPath通过基于KG的搜索增强了生物医学研究文章的检索能力.
该系统通过改进查询和文章发现来促进跨学科的知识探索.
DiscoverPath为浏览复杂的科学文献提供了一个易于访问和高效的解决方案.

关键词:

生物医学生物医学医疗保健医疗保健医疗保健医疗保健信息检索系统信息检索系统知识图表知识图表推者系统推者系统

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