Abstract

Knowledge Graphs are currently created using an assortment of techniques and tools: ad hoc code in a programming language, database export scripts, OpenRefine transformations, mapping languages, etc. Focusing on the latter, the wide variety of use cases, data peculiarities, and potential uses has had a substantial impact in how mappings have been created, extended, and applied. As a result, a large number of languages and their associated tools have been created. In this paper, we present the Conceptual Mapping ontology, that is designed to represent the features and characteristics of existing declarative mapping languages to construct Knowledge Graphs. This ontology is built upon the requirements extracted from experts experience, a thorough analysis of the features and capabilities of current mapping languages presented as a comparative framework; and the languages’ limitations discussed by the community and denoted as Mapping Challenges. The ontology is evaluated to ensure that it meets these requirements and has no inconsistencies, pitfalls or modelling errors, and is publicly available online along with its documentation and related resources.

中文翻译：

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表示声明性映射语言的本体论方法

摘要

知识图目前是使用各种技术和工具创建的：编程语言中的临时代码、数据库导出脚本、OpenRefine 转换、映射语言等。关注后者，广泛的用例、数据特性和潜在的uses 对如何创建、扩展和应用映射产生了重大影响。结果，大量的语言及其相关工具被创造出来。在本文中，我们提出了概念映射本体，它旨在表示现有声明性映射语言的特征和特征，以构建知识图谱。这个本体建立在从专家经验中提取的需求之上，以比较框架的形式对当前地图语言的特性和功能进行全面分析；以及社区讨论的语言限制，并表示为映射挑战。对本体进行评估以确保它满足这些要求并且没有不一致、陷阱或建模错误，并且可以在线公开获得它的文档和相关资源。