About

FLUID Spark is a free and open framework to compute graph summaries for evolving graphs. You can find out more information in the publications.

• Till Blume, David Richerby, Ansgar Scherp: Incremental and Parallel Computation of Structural GraphSummaries for Evolving Graphs, CIKM, 2020. https://doi.org/10.1145/3340531.3411878.

• Till Blume, Ansgar Scherp: Indexing Data on the Web: A Comparison of Schema-level Indices for Data Search, DEXA (2) 2020: 277-286. https://doi.org/10.1007/978-3-030-59051-2_18.

• Till Blume, Ansgar Scherp: Indexing Data on the Web: A Comparison of Schema-level Indices for Data Search - Extended Technical Report, CoRR abs/2006.07064, 2020. https://arxiv.org/abs/2006.07064.

• Till Blume, David Richerby, Ansgar Scherp: FLUID: A Common Model for Semantic Structural Graph Summaries Based on Equivalence Relations, CoRR abs/1908.01528, 2019. http://arxiv.org/abs/1908.01528

• Till Blume, Ansgar Scherp: Towards an Incremental Schema-level Index for Distributed Linked Open Data Graphs, LWDA, 2018. http://ceur-ws.org/Vol-2191/paper7.pdf

• Till Blume, Ansgar Scherp: Towards Flexible Indices for Distributed Graph Data: The Formal Schema-level Index Model FLuID, GvDB, 2018. http://ceur-ws.org/Vol-2126/paper3.pdf

You can find the source code for FLUID Spark at GitHub: github.com/t-blume/fluid-spark

All code is developed as part of my dissertation to empirically validate my findings. Thus, the code is not ready to use in production.