OnSET让非专家也能通过可视化探索知识图谱，无需学习复杂查询语言。
OnSET: Ontology and Semantic Exploration Toolkit
- 基于主题建模与语义搜索，提供可视化的查询构建引导。
- 支持在大型本体中检索典型子图及其实例，实现深度探索。
- 适合无背景知识的用户快速上手，适用于知识图谱初学者或应用开发者。
知识图谱的检索通常依赖于专用且复杂的查询语言（如SPARQL）。我们提出一种新系统——本体与语义探索工具包（OnSET），使非专家用户可通过主题建模和语义搜索提供的视觉引导，轻松构建查询。OnSET允许用户在不了解本体或网络化知识的前提下，开始探索感兴趣的主题，包括对典型子图及其实例的检索与深入分析。现有系统或仅聚焦于直接图遍历，或不支持结果集的进一步探索。而OnSET通过节点编辑器弥补了这些不足，支持在大型本体中对子图实例进行搜索。此外，OnSET结合高效开源平台，可在普通硬件上部署。
原文摘要 · Abstract (English)
Retrieval over knowledge graphs is usually performed using dedicated, complex query languages like SPARQL. We propose a novel system, Ontology and Semantic Exploration Toolkit (OnSET) that allows non-expert users to easily build queries with visual user guidance provided by topic modelling and semantic search throughout the application. OnSET allows users without any prior information about the ontology or networked knowledge to start exploring topics of interest over knowledge graphs, including the retrieval and detailed exploration of prototypical sub-graphs and their instances. Existing systems either focus on direct graph explorations or do not foster further exploration of the result set. We, however, provide a node-based editor that can extend on these missing properties of existing systems to support the search over big ontologies with sub-graph instances. Furthermore, OnSET combines efficient and open platforms to deploy the system on commodity hardware.
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