About#
CEMENTO is a component python package of the larger SDLE FAIR application suite of tools for creating scientific ontologies more efficiently. This package provides functional interfaces for converting draw.io diagrams of ontologies into RDF triple file formats and vice versa. This package is able to provide term matching between reference ontology files and terms used in draw.io diagrams allowing for faster ontology deployment while maintaining robust cross-references.
CEMENTO stands for the Centralized Entity Mapping & Extraction Nexus for Triples and Ontologies – a mouthful for an acronym, but an important metaphor for the package building the road to ontologies for materials data.
Package Contributors#
- Gabriel Obsequio Ponon (Lead Developer)
MDS3 Center of Excellence, Case Western Reserve University; Advanced Photon Source, Argonne National Laboratory
- Priyan Rajamohan
MDS3 Center of Excellence, Case Western Reserve University
- Ethan Frakes
MDS3 Center of Excellence, Case Western Reserve University
- Hemant Sharma
Advanced Photon Source, Argonne National Laboratory
- Roger French
MDS3 Center of Excellence, Case Western Reserve University
Cite this work!#
Please make sure to cite us when you use our software for your publications. We are a team of researchers building tools for fellow researchers and we appreciate the support. Cite us through the following:
G. O. Ponon, B. P. Rajamohan, E. Frakes, H. Sharma, and R. H. French, cemento: A package to view and write ontologies directly from draw.io diagram files. (Jul. 27, 2025). Python. Accessed: Jul. 28, 2025. [OS Independent]. Available: https://github.com/cwru-sdle/CEMENTO
Ponon, G. O., Rajamohan, B. P., Frakes E., Sharma, H. & French, R. H. cemento: A package to view and write ontologies directly from draw.io diagram files. (2025).
Ponon, G. O., Rajamohan, B. P., Frakes E., Sharma, H., & French, R. H. (2025). cemento: A package to view and write ontologies directly from draw.io diagram files. (Version 0.12.0) [Python; OS Independent]. https://github.com/cwru-sdle/CEMENTO
Ponon, Gabriel O., Balashanmuga Priyan Rajamohan, Ethan Frakes, Hemant Sharma, and Roger H. French. Cemento: A Package to View and Write Ontologies Directly from Draw.Io Diagram Files. Python. Version 0.12.0. Released July 27, 2025. OS Independent. https://github.com/cwru-sdle/CEMENTO.
Here are the files if you prefer BibTex
or Zotero RDF
.
Project License#
3-Clause BSD License
Copyright 2025 CWRU SDLE-MDS3
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Third Party Licenses
For information about third-party licenses for packages used in this project, please refer to the THIRD_PARTY_LICENSES.txt file in the repository or the Licenses Page on the documentation.
Acknowledgements#
This work is based upon research in the Materials Data Science for Stockpile Stewardship Center of Excellence (MDS3-COE), and supported by the U.S. Department of Energy’s National Nuclear Security Administration under Award Number(s) DE-NA0004104. This work was also supported in part by the U.S. Department of Energy, Office of Science, Office of Workforce Development for Teachers and Scientists (WDTS).