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Enabling policy making processes by unifying and reconciling corporate names in public procurement data. The CORFU technique

机译:通过统一和协调公共采购数据中的公司名称来支持决策过程。 CORFU技术

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摘要

This paper introduces the design, implementation and evaluation of the CORFU technique to deal with corporate name ambiguities and heterogeneities in the context of public procurement meta-data. This technique is applied to the "PublicSpending.net" initiative to show how the unification of corporate names is the cornerstone to provide a visualization service that can serve policy-makers to detect and prevent upcoming necessities. Furthermore, a research study to evaluate the precision, recall and robustness of the proposed technique is conducted using more than 40 million of names extracted from public procurement datasets (Australia, United States and United Kingdom) and the CrocTail project.
机译:本文介绍了在公共采购元数据的背景下,CORFU技术的设计,实现和评估,以处理公司名称的歧义和异质性。该技术已应用于“ PublicSpending.net”计划,以展示如何统一公司名称是提供可视化服务的基石,该可视化服务可以为决策者提供服务,以检测和预防即将到来的必需品。此外,使用从公共采购数据集(澳大利亚,美国和英国)和CrocTail项目中提取的4000万个名称进行了一项评估所提出技术的准确性,召回性和鲁棒性的研究。

著录项

  • 来源
    《Computer standards & interfaces》 |2015年第9期|28-38|共11页
  • 作者单位

    Carlos Ⅲ University of Madrid, Department of Computer Science and Engineering, Avd. de la Universidad, 30, Leganes, Madrid, Spain;

    National Technical University of Athens, 9 Heroon Polytechneiou st., 15773, Zografou Campus, Athens, Greece;

    Carlos Ⅲ University of Madrid, Department of Computer Science and Engineering, Avd. de la Universidad, 30, Leganes, Madrid, Spain;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Name disambiguation; Public spending; Linked Data;

    机译:名称歧义;公共开支;关联数据;

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