Source code of the approach for a structural similarity of RDF graphs based on frequent patterns, and its related experiments. In this project, it is included the code for the proposal to evaluate the evolution of a dataset already accepted at SWJ (see citations).
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The SWPattern folder contains the source code for the conversion of RDF datasets and updates to transaction, and their comparison and evaluation using codetables.
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The Scripts folder contains the scripts used to retrieve code tables from Vreeken's implementations of KRIMP and SLIM.
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The Slim archive contains our modification of Vreeken's SLIM implementation to be able to handle very large number of items (by removing a hard coded limit).
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The PythonCode folder contains the code used for the data analysis relative to our experiments.
To cite the structural similarity measure related to this approach:
@inproceedings{Maillot2018,
author = {Pierre Maillot and Carlos Bobed},
title = {Measuring Structural Similarity Between RDF Graphs},
booktitle = {Proc. of 33rd ACM/SIGAPP Symposium On Applied Computing (SAC), SWA track},
publisher={ACM},
pages = {1960--1967},
month = {April},
year = {2018},
}
To cite the assessment of the structural evolution of RDF (Knowledge) graphs:
@article{Bobed2019,
author={Carlos Bobed and Pierre Maillot and Peggy Cellier and S\'ebastien Ferr\'e},
journal={Semantic Web},
month={January},
number={1},
pages={831--853},
publisher={IOS Press, ISSN 1570-0844},
title={Data-driven Assessment of Structural Evolution of RDF Graphs},
year={2020}
}