论文标题
VGStore：用于查询RDF场景图的SPARQL的多模式扩展图
VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene Graph
论文作者
论文摘要
语义Web技术已成功促进了许多具有丰富数据表示方法的RDF模型。它还具有代表和存储多模式知识库（例如多模式场景图）的潜在能力。但是，大多数现有的查询语言，尤其是SPARQL，几乎没有探索隐式多模式关系，例如语义相似性，空间关系等。我们首先通过在RDF图数据库中组织一个大规模的场景图数据集（即视觉基因组）来探索此问题。基于建议的RDF存储的多模式场景图，我们扩展了SPARQL查询，以回答包含有关颜色，空间等关系推理的问题。进一步的演示（即VGSTORE）显示了定制查询的有效性和显示多模式数据的有效性。
Semantic Web technology has successfully facilitated many RDF models with rich data representation methods. It also has the potential ability to represent and store multimodal knowledge bases such as multimodal scene graphs. However, most existing query languages, especially SPARQL, barely explore the implicit multimodal relationships like semantic similarity, spatial relations, etc. We first explored this issue by organizing a large-scale scene graph dataset, namely Visual Genome, in the RDF graph database. Based on the proposed RDF-stored multimodal scene graph, we extended SPARQL queries to answer questions containing relational reasoning about color, spatial, etc. Further demo (i.e., VGStore) shows the effectiveness of customized queries and displaying multimodal data.
