Knowledge Graphs (KGs) have proven to be a reliable way of structuring data. They can provide a rich source of contextual information about cultural heritage collections. However, cultural heritage KGs are far from being complete. They are often missing important attributes such as geographical location, especially for sculptures and mobile or indoor entities such as paintings. In this paper, we first present a framework for ingesting knowledge about tangible cultural heritage entities from various data sources and their connected multi-hop knowledge into a geolocalized KG. Secondly, we propose a multi-view learning model for estimating the relative distance between a given pair of cultural heritage entities, based on the geographical as well as the knowledge connections of the entities.

翻译：事实证明,知识图(KGs)是构建数据的可靠方法,可以提供丰富的文化遗产收藏背景信息来源,然而,文化遗产KGs远未完成,往往缺少重要属性,如地理位置,特别是雕塑和移动或室内实体,如绘画。在本文件中,我们首先提出一个框架,将各种数据来源的关于有形文化遗产实体的知识及其连接的多功能知识纳入地理定位的KG。 其次,我们提出一个多视角学习模型,根据各实体的地理和知识联系,估计特定一对文化遗产实体之间的相对距离。