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Lexico-Logical Acquisition of OWL DL Axioms An Integrated Approach to Ontology Refinement

机译:OWL DL公理的词汇逻辑获取:本体优化的集成方法

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摘要

In order to overcome human and time resource problems in the task of ontology design, we propose to combine the LExO approach to learning expressive ontology axioms from textual definitions with Relational Exploration -a technique based on the well-known attribute exploration algorithm from FCA which is used to interactively clarify underspecified logical dependencies. By forcing particular modeling decisions the exploration of classes and class extension relationships guarantees completeness with respect to a certain logical fragment and increases the overall quality of the ontology. Providing an implementation as well as an example, we demonstrate how ontology learning and exploration complement each other in a synergetic way.
机译:为了克服本体设计任务中的人力和时间资源问题,我们建议将LExO方法从文本定义中学习表达本体公理,并与关系探索相结合-一种基于FCA著名属性探索算法的技术,即用于以交互方式澄清未指定的逻辑依赖性。通过强制执行特定的建模决策,对类和类扩展关系的探索可确保有关某个逻辑片段的完整性,并提高本体的整体质量。通过提供实施和示例,我们演示了本体学习和探索如何以协同方式相互补充。

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