【24h】

An Ontology-Based Architecture for Natural Language Access to Relational Databases

机译:基于本体的自然语言访问关系数据库的体系结构

获取原文

摘要

Natural language (NL) access to databases is a problem that has interested researchers for many years. We demonstrate that an ontology-based approach is technically feasible to handle some of the challenges facing NL query processing for database access. This paper presents the architecture, algorithms and results from the prototype thereof which indicate a domain and language independent architecture with high precision and recall rates. Studies are conducted for each of English and Swahili queries, both for same language and cross-lingual retrieval, from which we demonstrate promising precision and recall rates, language and domain independence, and that for language pairs it is sufficient to incorporate a machine translation system at the gazetteer level.
机译:对数据库的自然语言(NL)访问是一个困扰研究人员很多年的问题。我们证明基于本体的方法在技术上可行,可以解决NL查询处理数据库访问所面临的一些挑战。本文介绍了其原型的体系结构,算法和结果,这些结果表明具有高精度和召回率的领域和语言无关的体系结构。针对英语和斯瓦希里语中的每一种查询,都针对相同的语言和跨语言检索进行了研究,从中我们证明了有希望的准确性和查全率,语言和领域独立性,对于语言对来说,结合机器翻译系统就足够了在地名词典级别。

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