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A consensual dataset for complex ontology matching evaluation
The Knowledge Engineering Review ( IF 2.8 ) Pub Date : 2020-07-07 , DOI: 10.1017/s0269888920000247
Elodie Thiéblin , Michelle Cheatham , Cassia Trojahn , Ondrej Zamazal

Simple ontology alignments, largely studied in the literature, link one single entity of a source ontology to one single entity of a target ontology. One of the limitations of these alignments is, however, their lack of expressiveness, which can be overcome by complex alignments, which are composed of correspondences involving logical constructors or transformation functions. While most work on complex ontology matching has been dedicated to the development of complex matching approaches, there is still a lack of benchmarks on which the complex approaches can be systematically evaluated. The aim of this paper is to present the process of constructing the consensual complex Conference dataset, describing the design choices and the methodology followed for constructing it. We discuss the issues the experts were faced with during the process and discuss the lessons learned and perspectives in the field.

中文翻译:

用于复杂本体匹配评估的共识数据集

在文献中大量研究的简单本体对齐将源本体的单个实体链接到目标本体的单个实体。然而,这些对齐的局限性之一是它们缺乏表现力,这可以通过复杂的对齐来克服,这些对齐由涉及逻辑构造函数或转换函数的对应组成。虽然复杂本体匹配的大部分工作都致力于开发复杂匹配方法,但仍然缺乏可以系统评估复杂方法的基准。本文的目的是介绍构建共识复杂会议数据集的过程,描述设计选择和构建它所遵循的方法。
更新日期:2020-07-07
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