从网络中提取进化描述

Helge Holzmann, T. Risse
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引用次数: 2

摘要

命名实体的演变影响着数字图书馆的探索和检索任务。一个能够感知名称变化的信息检索系统可以积极地支持用户查找演化实体以前的出现情况。然而,目前的结构化知识库,如DBpedia或Freebase,并没有提供足够的关于进化的信息,即使这些数据可以从它们的资源(如Wikipedia)上获得。我们的Evolution Base原型将演示如何在这些Web站点上精确地识别描述名称演变的摘录。我们根据最近对维基百科上命名实体演变的分析训练的模型对这些描述进行分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extraction of evolution descriptions from the web
The evolution of named entities affects exploration and retrieval tasks in digital libraries. An information retrieval system that is aware of name changes can actively support users in finding former occurrences of evolved entities. However, current structured knowledge bases, such as DBpedia or Freebase, do not provide enough information about evolutions, even though the data is available on their resources, like Wikipedia. Our Evolution Base prototype will demonstrate how excerpts describing name evolutions can be identified on these Web sites with a promising precision. The descriptions are classified by means of models that we trained based on a recent analysis of named entity evolutions on Wikipedia.
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