6.6. Conclusion and perspectives

In this chapter, we presented a framework that makes it possible to introduce fuzzy preferences in graph pattern queries addressed to a crisp or fuzzy graph database. We discussed implementation issues for the implementation of such a framework. A proof of concept, which extends the Cypher query language of the Neo4j graph database management system, supports the theoretical contribution.

The presented work opens a lot of research perspectives. Some of them obviously concern increasing the expressivity of the query language by considering more complex preferences. For instance, some features very useful for structural network analysis could be offered. Interesting ones based on ordering and counting capabilities concern the distance as well as the indegree, outdegree or centrality of nodes. Other types of fuzzy quantified statements could also be considered.

Another extension of this work concerns the application of fuzzy preferences to the management...