How to Agree to Disagree: Managing Ontological Perspectives using Standpoint Logic

Luc'ia G'omez 'Alvarez, S. Rudolph, Hannes Strass
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引用次数: 7

Abstract

The importance of taking individual, potentially conflicting perspectives into account when dealing with knowledge has been widely recognised. Many existing ontology management approaches fully merge knowledge perspectives, which may require weakening in order to maintain consistency; others represent the distinct views in an entirely detached way. As an alternative, we propose Standpoint Logic, a simple, yet versatile multi-modal logic"add-on"for existing KR languages intended for the integrated representation of domain knowledge relative to diverse, possibly conflicting standpoints, which can be hierarchically organised, combined and put in relation to each other. Starting from the generic framework of First-Order Standpoint Logic (FOSL), we subsequently focus our attention on the fragment of sentential formulas, for which we provide a polytime translation into the standpoint-free version. This result yields decidability and favourable complexities for a variety of highly expressive decidable fragments of first-order logic. Using some elaborate encoding tricks, we then establish a similar translation for the very expressive description logic SROIQb_s underlying the OWL 2 DL ontology language. By virtue of this result, existing highly optimised OWL reasoners can be used to provide practical reasoning support for ontology languages extended by standpoint modelling.
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如何求同存异:运用立场逻辑管理本体论观点
在处理知识时,考虑到个人的、可能相互冲突的观点的重要性已得到广泛认可。许多现有的本体管理方法完全融合了知识视角,为了保持一致性,可能需要对其进行弱化;其他人则以完全独立的方式表达了不同的观点。作为替代方案,我们提出了立场逻辑,这是一种简单但通用的多模态逻辑“附加组件”,用于现有KR语言,用于相对于不同的,可能相互冲突的立场的领域知识的集成表示,这些观点可以分层组织,组合并相互关联。从一阶立场逻辑(FOSL)的一般框架开始,我们随后将注意力集中在句子公式的片段上,为此我们提供了一个多时翻译成无立场版本。这一结果为一阶逻辑的各种高表达的可决定片段提供了可决定性和有利的复杂性。然后,我们使用一些精细的编码技巧,为OWL 2 DL本体语言底层的非常富有表现力的描述逻辑SROIQb_s建立了类似的翻译。利用这一结果,现有的高度优化的OWL推理器可以为通过立场建模扩展的本体语言提供实用的推理支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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