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An Alignment-Based Implementation of a Holistic Ontology Integration Method

机译:基于对齐的整体本体集成方法实现

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Despite the intense research activity in the last two decades, ontology integration still presents a number of challenging issues. As ontologies are continuously growing in number, complexity and size and are adopted within open distributed systems such as the Semantic Web, integration becomes a central problem and has to be addressed in a context of increasing scale and heterogeneity. In this paper, we describe a holistic alignment-based method for customized ontology integration. The holistic approach proposes additional challenges as multiple ontologies are jointly integrated at once, in contrast to most common approaches that perform an incremental pairwise ontology integration. By applying consolidated techniques for ontology matching, we investigate the impact on the resulting ontology. The proposed method takes multiple ontologies as well as pairwise alignments and returns a refactored/non-refactored integrated ontology that faithfully preserves the original knowledge of the input ontologies and alignments. We have tested the method on large biomedical ontologies from the LargeBio OAEI track. Results show effectiveness, and overall, a decreased integration cost over multiple ontologies.?OIAR and AROM are two implementations of the proposed method.?OIAR creates a bridge ontology, and AROM creates a fully merged ontology.?The implementation includes the option of ontology refactoring.
机译:尽管在过去的二十年中进行了激烈的研究活动,但本体集成仍然存在许多具有挑战性的问题。由于本体在数量,复杂性和尺寸中不断增长并且在诸如语义网络之类的开放分布式系统中采用,集成成为核心问题,并且必须在增加规模和异质性的背景下解决。在本文中,我们描述了一种用于定制本体集成的整体对准方法。整体方法提出了额外的挑战,因为多个本体在一次联合整合,与执行增量成对本体集成的大多数常见方法相比。通过对本体匹配的综合技术,我们调查对所得本体的影响。该方法采用多个本体以及成对对齐,并返回忠实地保留输入本体和对齐的原始知识的重构/非重构集成本体。我们从大型oai轨道上测试了大型生物医学本体论的方法。结果表明效果,总体而言,在多个本体中减少了一体化成本.?IAR和AROM是拟议方法的两种实现.?源性创建了桥梁本体,AROM创建了完全合并的本体。:实施包括本体的选项重构。

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