论文标题
使用多视图知识图嵌入文化遗产的地理位置
Geolocation of Cultural Heritage using Multi-View Knowledge Graph Embedding
论文作者
论文摘要
知识图（KGS）已被证明是构建数据的可靠方法。他们可以提供有关文化遗产收藏的丰富的上下文信息。但是，文化遗产kg远非完整。他们通常会缺少重要的属性，例如地理位置，尤其是对于雕塑，移动或室内实体，例如绘画。在本文中，我们首先提出了一个框架，用于从各种数据源及其连接的多跳知识知识中摄取有关有形文化遗产实体的知识。其次，我们提出了一个多视图学习模型，用于估计基于实体的地理和知识联系，给定的文化遗产实体之间的相对距离。
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.
