The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data
The return of JedAI: End-to-End Entity Resolution for Structured and Semi-Structured Data
复制标题
JedAI回归：结构化和半结构化数据的端到端实体解析
DOI：
--
复制
发表时间：
2018
影响因子：
2.5
通讯作者：
Manolis Koubarakis
中科院分区：
文献类型：
--
作者：
G. Papadakis;Leonidas Tsekouras;Emmanouil Thanos;George Giannakopoulos;Themis Palpanas;Manolis Koubarakis
JedAI是一个实体解析工具包，可通过三种方式使用：
（i）作为一个开源库，它将最先进的方法组合成大量端到端的工作流程；
（ii）作为一个具有向导式界面的用户友好型桌面应用程序，即使对于非专业用户也能提供复杂的、开箱即用的解决方案；
（iii）作为一个工作台，用于比较众多工作流程在结构化和半结构化数据上的性能。在此，我们介绍它的重大升级版本JedAI 2.0，它在三个重要方面对原始版本进行了增强：
（i）时间效率，由于使用了高性能数据结构和多核处理，运行时间大幅减少；
（ii）有效性，因为我们用更多成熟的方法丰富了其库，新增了一个利用宽松模式绑定以及单个方法或整个工作流程的自动、数据驱动配置的层；
（iii）可用性，因为图形用户界面现在使用户能够根据具体指南手动配置任何方法，将匹配结果存储为任何支持的数据格式，并直观地探索输入和输出数据。
JedAI is an Entity Resolution toolkit that can be used in three ways:
(i)
as an open-source library that combines state-of-the-art methods into a plethora of end-to-end workflows,
(ii)
as a user-friendly desktop application with a wizardlike interface that provides complex, out-of-the-box solutions even to lay users, and
(iii)
as a workbench for comparing the performance of numerous workflows over both structured and semi-structured data. Here, we present its significant upgrade, JedAI 2.0, which enhances the original version in three important respects:
(i) time efficiency
, as the running time has been drastically reduced with the use of high performance data structures and multi-core processing,
(ii) effectiveness
, since we enriched its library with more established methods, a new layer that exploits loose schema binding as well as the automatic, data-driven configuration of individual methods or entire workflows, and
(iii)
usability
, as the GUI now enables users to manually configure any method based on concrete guidelines, to store the matching results into any of the supported data formats and to visually explore both input and output data.
影响因子：
3
作者：
Nentwig, Markus;Hartung, Michael;Rahm, Erhard
通讯作者：
Rahm, Erhard