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DL-Lite Ontology Revision Based on An Alternative Semantic Characterization

机译:基于替代语义特征的DL-Lite本体修订

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Ontology engineering and maintenance require (semi-) automated ontology change operations. Intensive research has been conducted on TBox and ABox changes in description logics (DLs), and various change operators have been proposed in the literature. Existing operators largely fall into two categories: syntax-based and model-based. While each approach has its advantages and disadvantages, an important topic that has rarely been explored is how to achieve a balance between syntax-based and model-based approaches. Also, most existing operators are specially designed for either TBox change or ABox change, and cannot handle the general ontology revision task-given a DL knowledge base (KB, a pair consisting of a TBox and an ABox), how to revise it by a set of TBox and ABox axioms (i.e., a new DL KB). In this article, we introduce an alternative structure for DL-Lite, called a featured interpretation, and show that featured models provide a finite and tight characterization to the classical semantics of DL-Lite. A key issue for defining a change operator is the so-called expressibility, that is, whether a set of models (or featured models here) is axiomatizable in DLs. It is indeed much easier to obtain expressibility results for featured models than for classical DL models. As a result, the new semantics determined by featured models provides a method for defining and studying various changes of DL-Lite KBs that involve both TBoxes and ABoxes. To demonstrate the usefulness of the new semantic characterization in ontology change, we define two revision operators for DL-Lite KBs using featured models and study their properties. In particular, we show that our two operators both satisfy AGM postulates. We show that the complexity of our revisions is Pi(P)(2)-complete, that is, on the same level as major revision operators in propositional logic, which further justifies the feasibility of our revision approach for DL-Lite. Also, we develop algorithms for these DL-Lite revisions.
机译:本体工程和维护需要(半)自动化本体更改操作。已经对描述逻辑(DL)中的TBox和ABox更改进行了深入研究,并且在文献中提出了各种更改操作符。现有的运算符主要分为两类:基于语法的和基于模型的。尽管每种方法都有其优点和缺点,但很少探讨的重要主题是如何在基于语法的方法与基于模型的方法之间取得平衡。同样,大多数现有的操作员都是为TBox更改或ABox更改而专门设计的,并且在提供DL知识库(KB,由TBox和ABox组成的一对)的情况下,无法处理一般的本体修订任务,如何通过A进行修改。 TBox和ABox公理集(即新的DL KB)。在本文中,我们介绍了DL-Lite的另一种结构,称为特征解释,并显示了特征模型为DL-Lite的经典语义提供了有限且严格的表征。定义变更算子的关键问题是所谓的可表达性,即,一组模型(或此处的特色模型)是否可在DL中公理化。实际上,获得特征模型的可表达性结果要比经典DL模型容易得多。结果,由特征模型确定的新语义为定义和研究涉及TBox和ABox的DL-Lite KB的各种更改提供了一种方法。为了证明新的语义特征描述在本体更改中的有用性,我们使用特征模型为DL-Lite KB定义了两个修订运算符,并研究了它们的属性。特别是,我们表明我们的两个运营商都满足AGM假设。我们表明,修订的复杂性是Pi(P)(2)完全的,也就是说,与命题逻辑中的主要修订运算符处于同一级别,这进一步证明了我们对DL-Lite进行修订的方法的可行性。同样,我们为这些DL-Lite修订版开发算法。

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