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Layered change log model: bridging between ontology change representation and pattern mining

机译:分层更改日志模型:本体更改表示和模式挖掘之间的桥接

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摘要

To date, no ontology change management system exists that records the ontology changes based on the different levels of granularity. Once changes are performed using elementary level change operations, they are recorded in the database at the elementary level accordingly. Such a change representation procedure is not sufficient to represent the intuition behind any applied change and thus, cannot capture the semantic impact of a change. In this paper, we discuss recording of the applied ontology changes in the form of a layered change log. We support the implementation of a layered change operator framework through layered change logs. We utilize the lower level ontology change log in two ways, i.e. recording of applied ontology changes (operational) and mining of higher level change patterns (analytical). The higher level change logs captureudthe objective of the ontology changes at a higher level of granularity and support a comprehensive understanding of the ontology evolution. The knowledge-based change log facilitates the detection of similarities within different time series, mining of change patterns and reuse of knowledge.The layered change logs are formalised using a graph-based approach.
机译:迄今为止,尚不存在可基于粒度的不同级别来记录本体更改的本体更改管理系统。一旦使用基本级别更改操作执行了更改,它们就会相应地记录在数据库中。这样的变更表示过程不足以表示任何已应用变更背后的直觉,因此无法捕获变更的语义影响。在本文中,我们讨论以分层更改日志的形式记录应用的本体更改。我们支持通过分层更改日志实现分层更改操作员框架。我们以两种方式利用较低级别的本体更改日志,即记录所应用的本体更改(可操作)和挖掘较高级别的更改模式(分析)。更高级别的更改日志以更高的粒度捕获/更改了本体更改的目标,并支持对本体演化的全面理解。基于知识的变更日志有助于检测不同时间序列内的相似性,挖掘变更模式并重用知识。分层的变更日志使用基于图的方法进行形式化。

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