Abstract

Building and publishing knowledge graphs (KG) as Linked Data, either on the Web or in private companies, has become a relevant and crucial process in many domains. This process requires that users perform a wide number of tasks conforming to the life cycle of a KG, and these tasks usually involve different unrelated research topics, such as RDF materialisation or link discovery. There is already a large corpus of tools and methods designed to perform these tasks; however, the lack of one tool that gathers them all leads practitioners to develop ad-hoc pipelines that are not generic and, thus, non-reusable. As a result, building and publishing a KG is becoming a complex and resource-consuming process. In this paper, a generic framework called Helio is presented. The framework aims to cover a set of requirements elicited from the KG life cycle and provide a tool capable of performing the different tasks required to build and publish KGs. As a result, Helio aims at providing users with the means for reducing the effort required to perform this process and, also, Helio aims to prevent the development of ad-hoc pipelines. Furthermore, the Helio framework has been applied in many different contexts, from European projects to research work.

中文翻译：

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Helio：实现知识图谱生命周期的框架

摘要

在 Web 上或在私营公司中构建和发布知识图谱 (KG) 作为关联数据，已成为许多领域中相关且关键的过程。这个过程要求用户执行大量符合 KG 生命周期的任务，这些任务通常涉及不同的不相关的研究主题，例如 RDF 物化或链接发现。已经有大量旨在执行这些任务的工具和方法；但是，由于缺乏一种工具可以将它们全部收集起来，因此从业者会开发非通用且因此不可重用的临时管道。因此，构建和发布 KG 正在成为一个复杂且耗费资源的过程。在本文中，提出了一个称为 Helio 的通用框架。该框架旨在涵盖从 KG 生命周期中得出的一组要求，并提供一个能够执行构建和发布 KG 所需的不同任务的工具。因此，Helio 旨在为用户提供减少执行此过程所需工作量的方法，同时，Helio 旨在防止开发临时管道。此外，Helio 框架已应用于许多不同的环境，从欧洲项目到研究工作。