首页> 外文期刊>Journal of Visual Languages & Computing >Terminological ontology learning and population using latent Dirichlet allocation
【24h】

Terminological ontology learning and population using latent Dirichlet allocation

机译:使用潜在狄利克雷分配的术语本体学习和种群

获取原文
获取原文并翻译 | 示例

摘要

The success of Semantic Web will heavily rely on the availability of formal ontologies to structure machine understanding data. However, there is still a lack of general methodologies for ontology automatic learning and population, i.e. the generation of domain ontologies from various kinds of resources by applying natural language processing and machine learning techniques In this paper, the authors present an ontology learning and population system that combines both statistical and semantic methodologies. Several experiments have been carried out, demonstrating the effectiveness of the proposed approach.
机译:语义Web的成功将在很大程度上取决于形式本体的可用性来构造机器理解数据。但是,仍然缺乏用于本体自动学习和种群的通用方法,即通过应用自然语言处理和机器学习技术从各种资源中生成领域本体。在本文中,作者提出了一种本体学习和种群系统结合了统计方法和语义方法。已经进行了几次实验,证明了该方法的有效性。

著录项

  • 来源
    《Journal of Visual Languages & Computing》 |2014年第6期|818-826|共9页
  • 作者单位

    Dipartimento di Ingegneria dell'Informazione, Ingegneria Elettrica e Matematica Applicata, University of Salerno, Italy;

    Dipartimento di Ingegneria dell'Informazione, Ingegneria Elettrica e Matematica Applicata, University of Salerno, Italy;

    Dipartimento di Ingegneria dell'Informazione, Ingegneria Elettrica e Matematica Applicata, University of Salerno, Italy;

    Dipartimento di Ingegneria Elettrica, e delle Tecnologie dell'Informazione, University of Naples 'Federico Ⅱ', Italy;

    Dipartimento di Ingegneria Elettrica, e delle Tecnologie dell'Informazione, University of Naples 'Federico Ⅱ', Italy;

    Dipartimento di Ingegneria Elettrica, e delle Tecnologie dell'Informazione, University of Naples 'Federico Ⅱ', Italy;

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

    Ontologies; Ontology learning; Ontology population; Latent Dirichlet allocation;

    机译:本体;本体学习;本体人口;潜在狄利克雷分配;

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