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A unified approach for aligning taxonomies and debugging taxonomies and their alignments

机译:统一分类法和调试分类法及其对齐的统一方法

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摘要

With the increased use of ontologies in semantically-enabled applications, the issues of debugging and aligning ontologies have become increasingly important. The quality of the results of such applications is directly dependent on the quality of the ontologies and mappings between the ontologies they employ. A key step towards achieving high quality ontologies and mappings is discovering and resolving modeling defects, e.g., wrong or missing relations and mappings. In this paper we present a unified framework for aligning taxonomies, the most used kind of ontologies, and debugging taxonomies and their alignments, where ontology alignment is treated as a special kind of debugging. Our framework supports the detection and repairing of missing and wrong is-a structure in taxonomies, as well as the detection and repairing of missing (alignment) and wrong mappings between ontologies. Further, we implemented a system based on this framework and demonstrate its benefits through experiments with ontologies from the Ontology Alignment Evaluation Initiative.
机译:随着在启用语义的应用程序中本体的使用越来越多,调试和对齐本体的问题变得越来越重要。这样的应用的结果的质量直接取决于本体的质量以及它们所采用的本体之间的映射。实现高质量本体和映射的关键步骤是发现和解决建模缺陷,例如关系和映射错误或丢失。在本文中,我们提供了一个用于统一分类法,最常用的本体以及调试分类法及其对齐的统一框架,其中本体对齐被视为一种特殊的调试方法。我们的框架支持分类法中缺失和错误is-的检测和修复,以及本体之间的缺失(对齐)和错误映射的检测和修复。此外,我们基于此框架实施了一个系统,并通过对本体一致性评估计划中本体的实验证明了其优势。

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