GQBE: Querying knowledge graphs by example entity tuples

Nandish Jayaram, Mahesh Gupta, Arijit Khan, Chengkai Li, Xifeng Yan, R. Elmasri
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引用次数: 32

Abstract

We present GQBE, a system that presents a simple and intuitive mechanism to query large knowledge graphs. Answers to tasks such as “list university professors who have designed some programming languages and also won an award in Computer Science” are best found in knowledge graphs that record entities and their relationships. Real-world knowledge graphs are difficult to use due to their sheer size and complexity and the challenging task of writing complex structured graph queries. Toward better usability of query systems over knowledge graphs, GQBE allows users to query knowledge graphs by example entity tuples without writing complex queries. In this demo we present: 1) a detailed description of the various features and user-friendly GUI of GQBE, 2) a brief description of the system architecture, and 3) a demonstration scenario that we intend to show the audience.
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GQBE:通过示例实体元组查询知识图
我们提出了一个GQBE系统,它提供了一个简单直观的机制来查询大型知识图谱。诸如“列出设计过一些编程语言并获得过计算机科学奖项的大学教授名单”等问题的答案最好在记录实体及其关系的知识图谱中找到。现实世界的知识图由于其庞大的规模和复杂性以及编写复杂结构化图查询的挑战性任务而难以使用。为了提高知识图查询系统的可用性,GQBE允许用户通过示例实体元组查询知识图,而无需编写复杂的查询。在这个演示中,我们将介绍:1)对GQBE的各种特性和用户友好GUI的详细描述,2)对系统架构的简要描述,以及3)我们打算向观众展示的演示场景。
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