一个图数据库模糊查询系统

2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS) Pub Date : 2016-06-01 DOI:10.1109/RCIS.2016.7549366

O. Pivert, Olfa Slama, Grégory Smits, Virginie Thion

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引用次数: 8

摘要

图数据库由于其广泛的潜在应用范围，在过去几年中引起了人们的极大兴趣。定义一种允许灵活查询图形数据库的语言可以极大地提高数据的可用性。本文提出了一种灵活的图形数据库查询系统。首选项基于模糊集合理论，可能涉及i)顶点的内容和ii)图的结构。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SUGAR: A graph database fuzzy querying system

Graph databases have aroused a large interest in the last years thanks to their large scope of potential applications. Defining a language allowing a flexible querying of graph databases may greatly improve usability of data. In this paper, we present a system for querying graph databases in a flexible way. The preferences are based on fuzzy set theory and may concern i) the content of the vertices and ii) the structure of the graph.

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2016 IEEE Tenth International Conference on Research Challenges in Information Science (RCIS)

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