FROM TYPE SYSTEMS TO KNOWLEDGE REPRESENTATION: NATURAL SEMANTICS SPECIFICATIONS FOR DESCRIPTION LOGICS

Author:

BORGIDA ALEXANDER1

Affiliation:

1. Department of Computer Science, Rutgers University, New Brunswick, NJ 08903, USA

Abstract

We first explore the similarities and differences between concept definitions in description/terminological logics such as KL-ONE, Classic, Back, Loom, etc. and the types normally encountered in programming languages. The similarities lead us to consider the application of natural semantics — the mechanism most frequently used to describe type systems — to the definition of knowledge base management systems that use such description logics. The paper presents inference rules in the natural semantics style for a variety of judgments involving descriptions, such as “subsumption” and “object membership”, and provides the full definition of subsumption in the Classic KBMS as a proof system. One of our objectives is to document some advantages of this approach, including the utility of multiple complementary semantics, and especially the characterization of implementations that are computationally tractable but are incomplete relative to standard denotational semantics.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computer Science Applications,Information Systems

Cited by 14 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Composing Distributed Systems: Overcoming the Interoperability Challenge;Formal Methods for Components and Objects;2013

2. Explanation in the DL-Lite Family of Description Logics;On the Move to Meaningful Internet Systems: OTM 2008;2008

3. Conceptual modeling in a document management environment using part-of reasoning in description logics;Data & Knowledge Engineering;2000-01

4. A description logic-based configurator on the web;ACM SIGART Bulletin;1998-09

5. Description Logics for Conceptual Data Modeling;Logics for Databases and Information Systems;1998

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3