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A comparison of object-triple mapping libraries
Semantic Web ( IF 3.0 ) Pub Date : 2020-04-14 , DOI: 10.3233/sw-190345
Martin Ledvinka 1 , Petr Křemen 1
Affiliation  

Domain-independent information systems like ontology editors provide only limited usability for non-experts when domain-specific linked data need to be created. On the contrary, domain-specific applications require adequate architecture for data authoring and validation, typically using the object-oriented paradigm. So far, several software libraries mapping the RDF model (representing linked data) to the object model have been introduced in the literature. In this paper, we develop a novel framework for comparison of object-triple mapping solutions in terms of features and performance. For feature comparison, we designed a set of qualitative criteria reflecting object-oriented application developer’s needs. For the performance comparison, we introduce a benchmark based on a real-world information system that we implemented using one of the compared object-triple mapping (OTM) solutions – JOPA. We present a detailed evaluation of a selected set of OTM libraries, showing how they differ in terms of features. We further narrow down the set of selected OTM libraries to contain only RDF4J-compatible ones and use the benchmark to measure their time and memory efficiency.

中文翻译:

对象三重映射库的比较

当需要创建特定于域的链接数据时,诸如本体编辑器之类的与域无关的信息系统仅为非专家提供有限的可用性。相反,特定于领域的应用程序通常需要使用面向对象的范式来为数据创作和验证提供适当的体系结构。到目前为止,文献中已经介绍了几种将RDF模型(表示链接的数据)映射到对象模型的软件库。在本文中,我们开发了一个新颖的框架,用于在功能和性能方面比较对象三重映射解决方案。为了进行功能比较,我们设计了一组定性标准,以反映面向对象的应用程序开发人员的需求。为了进行性能比较,我们介绍了一个基于现实世界信息系统的基准,该基准是我们使用比较的对象三重映射(OTM)解决方案之一– JOPA实现的。我们将对一组选定的OTM库进行详细评估,以显示它们在功能方面的差异。我们进一步缩小了所选OTM库的范围,使其仅包含与RDF4J兼容的OTM库,并使用基准测试它们的时间和内存效率。
更新日期:2020-04-14
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