Extracting and visualizing semantic structures in retrieval results for browsing

IF 1.1 Q3 INFORMATION SCIENCE & LIBRARY SCIENCE

Digital Library Perspectives Pub Date : 2000-06-01 DOI:10.1145/336597.336672

K. Börner

引用次数: 36

Abstract

The paper introduces an approach that organizes retrieval results semantically and displays them spatially for browsing. Latent Semantic Analysis as well as cluster techniques are applied for semantic data analysis. A modified Boltzman algorithm is used to layout documents in a two-dimensional space for interactive exploration. The approach was implemented to visualize retrieval results from two different databases: the Science Citation Index Expanded and theDido Image Bank.

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在检索结果中提取和可视化语义结构以供浏览

本文介绍了一种对检索结果进行语义组织和空间显示以供浏览的方法。潜在语义分析和聚类技术被应用于语义数据分析。采用改进的玻尔兹曼算法在二维空间中进行文档布局，便于交互探索。该方法被用于可视化两个不同数据库的检索结果:Science Citation Index Expanded和theDido Image Bank。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Digital Library Perspectives INFORMATION SCIENCE & LIBRARY SCIENCE-

CiteScore

3.90

自引率

11.80%

发文量

期刊介绍： Digital Library Perspectives (DLP) is a peer-reviewed journal concerned with digital content collections. It publishes research related to the curation and web-based delivery of digital objects collected for the advancement of scholarship, teaching and learning. And which advance the digital information environment as it relates to global knowledge, communication and world memory. The journal aims to keep readers informed about current trends, initiatives, and developments. Including those in digital libraries and digital repositories, along with their standards and technologies. The editor invites contributions on the following, as well as other related topics: Digitization, Data as information, Archives and manuscripts, Digital preservation and digital archiving, Digital cultural memory initiatives, Usability studies, K-12 and higher education uses of digital collections.