Difference between revisions of "Graph query language for the archive (internship)"
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Revision as of 17:05, 16 February 2020
Context: Software Heritage is an ambitious research project whose goal is to collect, preserve in the very long term, and share the whole publicly accessible Free/Open Source Software (FOSS) in source code form.
Description: The Software Heritage archive is structured as a graph (specifically, a Merkle DAG) and is huge: tens of billion nodes, hundreds of billion edges. It has recently been verified that a compressed representation of the graph structure can fit in memory, whereas node/edge properties can be memory-mapped to secondary storage (see: documentation and in particular the paper referenced there). An ad hoc API is available to traverse the graph, with very limited querying capabilities. The goal of this internship is to experiment with the possibility of querying the archive graph via state-of-the-art graph query languages. The ideal outcome of the internship will be a prototype of query engine that answers queries on top of the compressed graph representation plus associated property maps. The tentative target platform for implementation is Neo4j extended with a compatibility layer for WebGraph ImmutableGraphs, but other options might be considered.
Desirable skills to obtain this internship:
- Java development
- Query languages for structured, semi-structured, or graph data (e.g., one or more among: SQL, Xquery, GraphQL, SPARQL, GQL, etc.)
Will be considered a plus:
- experience with graph databases (e.g., Neo4j)
Workplace: on site at Inria Paris (contact mentors for remote opportunities)
Environment: you will work shoulder to shoulder with all members of the Software Heritage team, and you will have a chance to witness from within the construction of the great library of source code.
- Angela Bonifati <email@example.com>
- Stefano Zacchiroli <firstname.lastname@example.org>