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.
翻译:在与知识打交道时,考虑个人、可能相互冲突的观点的重要性已经得到广泛承认。许多现有的肿瘤管理方法完全融合了知识观点,这可能需要削弱知识观点,以便保持一致性;另一些则以完全独立的方式代表不同的观点。作为一种替代办法,我们提议对现有的 KR 语言采用Standpoint 逻辑,这是简单而多功能的多式逻辑“add-on' ”,目的是综合地代表域知识,相对于不同的、可能相互冲突的观点,这些观点可以分等级地组织、组合和相互关联。从一阶常态逻辑(FOSL)的通用框架开始,我们随后将注意力集中在发送公式的碎片上,为此,我们提供将多时翻译到无视化的版本。结果是,对一阶逻辑中各种高度清晰的可分解的分解的分解部分产生衰变和有利的复杂因素。使用一些复杂的编码技巧,然后为非常清晰的描述逻辑SROQb_s 支持OWL 2 DL 肿瘤语言的基础。根据这一结果,现有高度选择的理论推理,可以提供由实际观点加以推理的推理的推理。