首页> 外文会议>Annual German Conference on Artificial Intelligence >Ontology-Based Information Extraction for French Newspaper Articles
【24h】

Ontology-Based Information Extraction for French Newspaper Articles

机译:基于本体论的信息提取法国报纸文章

获取原文

摘要

In this paper, we describe a rule-based approach to perform automated semantic annotation of named entities in a corpus of newspaper articles. The originality of our system is in the fact that it establishes a connection between the French named entity, the DBpedia ontology and the DBpedia databank. We present our system, discuss its architecture and report the first evaluation results.
机译:在本文中,我们描述了一种基于规则的方法,以在报纸文章的语料库中执行命名实体的自动语义注释。我们系统的原创性在于它在法国命名实体,DBPedia本体和DBPedia Databank之间建立了连接。我们展示了我们的系统,讨论其架构并报告第一个评估结果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号