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FAME: An Automated Tool for Semantic Forgetting in Expressive Description Logics

机译:FAME:用于表达描述逻辑中的语义遗忘的自动化工具

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摘要

In this paper, we describe a high-performance reasoning tool, called Fame, for semantic forgetting in expressive description logics. Forgetting is a non-standard reasoning service that seeks to create restricted views of ontologies by eliminating concept and role names from ontologies in such a way that all logical consequences up to the remaining signature are preserved. Fame is a Java-based implementation of an Ackermann-based method for forgetting concept and role names from ontologies expressible in the description logic ALCOTH. ALCOTH is the extension of the basic description logic ALC with nominals, inverse roles and role inclusions. Fame can be used as a standalone tool or a Java library for forgetting or related tasks. Results of an evaluation of Fame on a corpus of 396 biomedical ontologies have shown that: (ⅰ) in more than 90% of the test cases Fame was successful (i.e., eliminated all specified concept and role names) and (ⅱ) the elimination was done within one second in more than 70% of the successful cases.
机译:在本文中,我们描述了一种称为Fame的高性能推理工具,用于表达描述逻辑中的语义遗忘。遗忘是一种非标准的推理服务,旨在通过从本体中消除概念和角色名称的方式来创建受限的本体视图,从而保留所有逻辑后果,直至保留其余签名。名望是基于Java的基于Ackermann的方法的实现,用于从描述逻辑ALCOTH中表达的本体中忘记概念和角色名称。 ALCOTH是基本描述逻辑ALC的扩展,带有名词,反作用和作用包含。名望可用作遗忘或相关任务的独立工具或Java库。对396种生物医学本体的名望评估结果表明:(ⅰ)在超过90%的测试用例中,名望成功(即,消除了所有指定的概念和角色名称),并且(ⅱ)消除了70%以上的成功案例都在一秒钟之内完成。

著录项

  • 来源
    《Automated reasoning》|2018年|19-27|共9页
  • 会议地点 Oxford(GB)
  • 作者单位

    School of Computer Science, The University of Manchester, Manchester, UK;

    School of Computer Science, The University of Manchester, Manchester, UK;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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