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A Lime-Flavored REST API for Alignment Services

机译:对齐服务的石灰味REST API

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A practical alignment service should be flexible enough to handle the varied alignment scenarios that arise in the real world, while minimizing the need for manual configuration. MAPLE, an orchestration framework for ontology alignment, supports this goal by coordinating a few loosely coupled actors, which communicate and cooperate to solve a matching task using explicit metadata about the input ontologies, other available resources and the task itself. The alignment task is thus summarized by a report listing its characteristics and suggesting alignment strategies. The schema of the report is based on several metadata vocabularies, among which the Lime module of the OntoLex-Lemon model is particularly important, summarizing the lexical content of the input ontologies and describing external language resources that may be exploited for performing the alignment. In this paper, we propose a REST API that enables the participation of downstream alignment services in the process orchestrated by MAPLE, helping them self-adapt in order to handle heterogeneous alignment tasks and scenarios. The realization of this alignment orchestration effort has been performed through two main phases: we first described its API as an OpenAPI specification (a la API-first), which we then exploited to generate server stubs and compliant client libraries. Finally, we switched our focus to the integration of existing alignment systems, with one fully integrated system and an additional one being worked on, in the effort to propose the API as a valuable addendum to any system being developed.
机译:实际的对齐服务应足够灵活,以处理现实世界中出现的各种对齐方案,同时最大程度地减少对手动配置的需求。 MAPLE是一个用于本体对齐的编排框架,它通过协调一些松散耦合的参与者来支持此目标,这些参与者使用有关输入本体,其他可用资源和任务本身的显式元数据进行交流和协作,以解决匹配任务。因此,对准任务由一份报告总结,该报告列出了其特征并提出了对准策略。该报告的架构基于几个元数据词汇,其中OntoLex-Lemon模型的Lime模块特别重要,它总结了输入本体的词汇内容并描述了可用于执行对齐的外部语言资源。在本文中,我们提出了一个REST API,该API使下游对齐服务能够参与MAPLE精心安排的流程,从而帮助它们进行自适应以处理异构对齐任务和方案。对齐协调工作的实现已通过两个主要阶段完成:我们首先将其API描述为OpenAPI规范(首先是API规范),然后我们利用它来生成服务器存根和兼容的客户端库。最后,我们将重点转移到现有对齐系统的集成上,其中一个是完全集成的系统,另一个是正在开发中的系统,旨在将API提议为正在开发的任何系统的宝贵附录。

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