SQIREL-Graphs focuses on the development of Big Data systems for processing questions about graphs that are constantly changing, such as social networks and Web collections (which refer to each other with links).
There are many important applications, such as security, logistics and medical fraud detection, in which it is important to detect real-time patterns in such graphs as soon as the messages are posted and to make decisions immediately.
The newly developed technology will be used already during the project on use cases in the security domain and in the creative industry. The solution will be widely available in two open source databases, MonetDB and neo4j, and in Spark, the de facto standard for big data analysis and processing.
Looptijd: t/m 2022
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