基于图数据库的社会网络提取研究

2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications Pub Date : 2010-04-11 DOI:10.1109/DBKDA.2010.19

Rania Soussi, Marie-Aude Aufaure, Hajer Baazaoui Zghal

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引用次数: 20

摘要

在企业上下文中，大量重要信息存储在关系数据库中。因此，关系数据库可以作为提取社会网络的丰富资源。此外，它不太适合呈现和存储社交网络。另一方面，图数据库可以以自然的方式对数据进行建模，并便于使用图操作对数据进行查询。通过这种方式，我们提出了一种从关系数据库中提取社会网络的方法，并提出了将关系数据库转换为图数据库的机制。

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Towards Social Network Extraction Using a Graph Database

In the enterprise context, an important amount of information is stored in relational databases. Therefore, relational database can be a rich source to extract social network. Moreover, it is not very suitable to present and store a social network. On the other hand, a graph database canmodel data in natural way and facilitates the query of data using graph operations. In this way, we propose a social network extraction approach from relational, and present mechanisms for transforming relational database into graph databases.

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2010 Second International Conference on Advances in Databases, Knowledge, and Data Applications

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