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相关概念视频

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DETEXA:通过SQL进行声明式可扩展文本探索和分析.

Yannis Foufoulas1,2, Eleni Zacharia1,2, Harry Dimitropoulos1,2

  • 1Department of Informatics and Telecommunications, National and Kapodistrian University of Athens, Panepistimiopolis, 15784 Ilisia, Greece.

International journal on digital libraries
|June 26, 2023
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种使用扩展的SQL用于数字图书馆的新型文本分析框架. 该框架加速元数据丰富和文本挖掘,比现有方法快三倍.

关键词:
文本分析 文本分析用户定义的功能是用户定义的功能.是的SQL 是的SQL

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科学领域:

  • 数字图书馆 数字图书馆
  • 文本挖掘 (Text Mining) 是一个很好的方法.
  • 数据库管理系统 数据库管理系统

背景情况:

  • 对数字图书馆来说,元数据的丰富至关重要,因为数字图书馆面临着越来越多的开放访问出版物的挑战.
  • 非结构化,大规模和异构的数据源对传统的文本挖掘构成重大障碍.
  • 现有的方法往往缺乏端到端文本挖掘管道的效率和集成.

研究的目的:

  • 引入一个可扩展的文本分析框架,在扩展的SQL中实现.
  • 为了实现高性能,端到端的文本挖掘管道,包括数据收集,清理,处理和分析.
  • 为了利用SQL的声明性质,为领域专家进行快速实验和API开发.

主要方法:

  • 在扩展的SQL中开发了一个文本分析框架.
  • 利用了现代数据库管理系统的可扩展性.
  • 将数据收集,清理,处理和文本分析整合到一个统一的管道中.

主要成果:

  • 拟议的框架显示了显著的加快速度,在常见的用例中实现高达三倍更快的性能.
  • 实验分析证实了该框架在处理大型非结构化数据集方面的有效性.
  • 基于SQL的方法使工作流更容易修改和API集成.

结论:

  • 扩展的SQL框架为数字图书馆中的元数据丰富提供了有效和高性能解决方案.
  • 这种方法解决了开放获取出版物的指数级增长所带来的挑战.
  • 该系统使领域专家能够通过图形界面高效地管理文本挖掘工作流程.