Knowledge Graph Generator

Version 1.0

Glaser, Gabriel Timon, 2025, "Knowledge Graph Generator", https://doi.org/10.18419/DARUS-4436, DaRUS, V1

Dataset Metrics

1 Download

Description	Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge graph that approximately matches the rules according to the body support and confidence. This code was developed during the Bachelor thesis by Gabriel Glaser, Generating Random Knowledge Graphs from Rules, University of Stuttgart, 2024. doi:10.18419/opus-15467. (2024-07-30)
Subject	Computer and Information Science
Keyword	Knowledge Graph, Synthetic Data, Horn Clause, Hill Climbing
Related Publication	Is Supplement To: G. T. Glaser. Generating random knowledge graphs from rules. Bachelor’s thesis, University of Stuttgart, 2024.doi: 10.18419/opus-15467
License/Data Use Agreement	MIT License

Filter by

	1 to 4 of 4 Files	Download
	evaluation_data.zip ZIP Archive - 379.4 MB Published Jan 8, 2025 0 Downloads MD5: d59bc9003f991887a5cbc5622343f88a Generated graphs and corresponding generation information	Preview "evaluation_data.zip" Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	KnowledgeGraphGenerator-bachelor-thesis-final-version.zip ZIP Archive - 132.6 KB Published Jan 8, 2025 0 Downloads MD5: 7802cc3761f583abe4af3ed9223cad2f	Preview "KnowledgeGraphGenerator-bachelor-thesis-final-version.zip" Access File File Access Public Download Options ZIP Archive Download Metadata Data File Citation EndNote XML RIS BibTeX
	LICENSE Plain Text - 1.1 KB Published Jan 8, 2025 1 Download MD5: be4c23e50acb9cfda755c27bd512d09a	Access File File Access Public Download Options Plain Text Download Metadata Data File Citation EndNote XML RIS BibTeX
	README.md Markdown Text - 4.8 KB Published Jan 8, 2025 0 Downloads MD5: 66e6deb92a1e2df0866d8a206e5efc4f	Preview "README.md" Access File File Access Public Download Options Markdown Text Download Metadata Data File Citation EndNote XML RIS BibTeX

Citation Metadata

Persistent Identifier	doi:10.18419/DARUS-4436
Publication Date	2025-01-08
Title	Knowledge Graph Generator
Author	https://ror.org/04vnq7t770009-0006-0269-2874
Point of Contact	Use email button above to contact. Hernández, Daniel (Universität Stuttgart)
Description	Code and experiment results for a synthetic knowledge graph generator. The generator receives a set of rules, with an expected body support and support, and returns a knowledge graph that approximately matches the rules according to the body support and confidence. This code was developed during the Bachelor thesis by Gabriel Glaser, Generating Random Knowledge Graphs from Rules, University of Stuttgart, 2024. doi:10.18419/opus-15467. (2024-07-30)
Subject	Computer and Information Science
Keyword	Knowledge Graph http://www.wikidata.org/entity/Q33002955 (Wikidata) Synthetic Data http://www.wikidata.org/entity/Q7662746 (Wikidata) Horn Clause http://www.wikidata.org/entity/Q933932 (Wikidata) Hill Climbing http://www.wikidata.org/entity/Q820272 (Wikidata)
Topic Classification	Artificial Intelligence and Machine Learning Methods (DFGFO) https://w3id.org/dfgfo/2024/443-04 Data Management, Data-Intensive Systems, Computer Science Methods in Business Informatics (DFGFO) https://w3id.org/dfgfo/2024/443-06
Related Publication	Is Supplement To: G. T. Glaser. Generating random knowledge graphs from rules. Bachelor’s thesis, University of Stuttgart, 2024. doi 10.18419/opus-15467 https://doi.org/10.18419/opus-15467 Cites: A. Hogan, E. Blomqvist, M. Cochez, C. d’Amato, G. D. Melo, C. Gutierrez, S. Kirrane, J. E. L. Gayo, R. Navigli, S. Neumaier, et al. “Knowledge graphs”. In: ACM Computing Surveys (Csur) 54.4 (2021), pp. 1–37 doi 10.1145/3447772 https://doi.org/10.1145/3447772 Cites: L. A. Galárraga, C. Teflioudi, K. Hose, F. Suchanek. “AMIE: Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases”. In: Proceedings of the 22nd International Conference on World Wide Web. WWW ’13. Rio de Janeiro, Brazil: Association for Computing Machinery, 2013, pp. 413–422. doi 10.1145/2488388.2488425 https://doi.org/10.1145/2488388.2488425 Cites: T. Thanapalasingam, E. van Krieken, P. Bloem, P. Groth. “IntelliGraphs: Datasets for Benchmarking Knowledge Graph Generation”. In: arXiv preprint arXiv:2307.06698 (2023) doi 10.48550/arXiv.2307.06698 https://doi.org/10.48550/arXiv.2307.06698 Cites: S.- H. Lim, S. M. Lee, S. Powers, M. Shankar, N. Imam. “Survey of approaches to generate realistic synthetic graphs”. In: Oak Ridge National Laboratory (2015) doi 10.2172/1339361 https://doi.org/10.2172/1339361 Cites: C. Gregucci, M. Nayyeri, D. Hernández, S. Staab. “Link Prediction with Attention Applied on Multiple Knowledge Graph Embedding Models”. In: Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023. ACM, 2023, pp. 2600–2610. doi 10.1145/3543507.3583358 https://doi.org/10.1145/3543507.3583358
Language	English
Depositor	Hernández, Daniel
Deposit Date	2024-07-30
Data Type	Code files and JSON
Did it work?	Partially
Explanation	Knowledge Graphs were successfully generated and there were large quality increases between different generation variants. Also, characteristics that influence the quality of a generated graph were determined. However, no evaluated variant is able to reach the ultimate goal of generating a graph that closely matches the expected body support and expected confidence.

Software Metadata (CodeMeta v2.0)

Software Version	0.0.1-SNAPSHOT
Development Status	Active
Application Category	Synthetic Data Generation
Programming Language	Java
Runtime Platform	Java 17
Software Requirements	Java 17 https://www.oracle.com/de/java/technologies/downloads/#java17 Maven 3.9.6 https://maven.apache.org/download.cgi

Privacy Metadata

Personal Data	no

Dataset Terms

License/Data Use Agreement

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

MIT License

Dataset Version	Summary	Contributors	Published on
No records found.

Edit File

This file has already been deleted (or replaced) in the current version. It may not be edited.

Restrict Access

Restricting limits access to published files. People who want to use the restricted files can request access by default. If you disable request access, you must add information about access to the Terms of Access field.

Learn about restricting files and dataset access in the User Guide.

Request Access

Enable access request

You must enable request access or add terms of access to restrict file access.

Terms of Access for Restricted Files

Save Changes

Edit Embargo

The selected file or files have already been published. Contact an administrator to change the embargo date or reason of the file or files.

Edit Retention Period

The selected file or files have already been published. Contact an administrator to change the retention period date or reason of the file or files.

Delete Files

The file will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Select File(s)

Please select one or more files.

Share Dataset

Share this dataset on your favorite social media networks.

Continue

Dataset Citations

Citations for this dataset are retrieved from Crossref via DataCite using Make Data Count standards. For more information about dataset metrics, please refer to the User Guide.

Sorry, no citations were found.

Inaccessible Files Selected

The selected file(s) may not be downloaded because you have not been granted access or the file(s) have a retention period that has expired or the files can only be transferred via Globus.

You may request access to any restricted file(s) by clicking the Request Access button.

Ineligible Files Selected

The selected file(s) may not be transferred because you have not been granted access or the file(s) have a retention period that has expired or the files are not Globus accessible.

You may request access to any restricted file(s) by clicking the Request Access button.

Download Options

The files selected are too large to download as a ZIP.

You can select individual files that are below the 1.9 GB download limit from the files table, or use the Data Access API for programmatic access to the files.

Select File(s)

Please select a file or files to be downloaded.

Inaccessible Files Selected

The selected file(s) may not be downloaded because you have not been granted access or the file(s) have a retention period that has expired.

Click Continue to download the files you have access to download.

Ineligible Files Selected

Some file(s) cannot be transferred. (They are restricted, embargoed, with an expired retention period, or not Globus accessible.)

Click Continue to transfer the elligible files.

Delete Dataset

Are you sure you want to delete this dataset and all of its files? You cannot undelete this dataset.

Delete Draft Version

Are you sure you want to delete this draft version? Files will be reverted to the most recently published version. You cannot undelete this draft.

Unpublished Dataset Preview URL

Preview URL can only be used with unpublished versions of datasets.

Unpublished Dataset Preview URL

Are you sure you want to disable the Preview URL? If you have shared the Preview URL with others they will no longer be able to use it to access your unpublished dataset.

Delete Files

The file(s) will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Compute

This dataset contains restricted files you may not compute on because you have not been granted access.

Deaccession Dataset

Are you sure you want to deaccession? This is permanent and the selected version(s) will no longer be viewable by the public.

Deaccession Dataset

Are you sure you want to deaccession this dataset? This is permanent an it will no longer be viewable by the public.

Version Differences Details

Please select two versions to view the differences.

Version Differences Details

Version:
Last Updated:

Select File(s)

Please select a file or files for access request.

Select File(s)

Embargoed files cannot be accessed. Please select an unembargoed file or files for your access request.

Edit Tags

Select existing file tags or create new tags to describe your files. Each file can have more than one tag.

Request Access

You need to Log In to request access.

Dataset Terms

Please confirm and/or complete the information needed below in order to request access to files in this dataset.

This dataset is made available under the following terms. Please confirm and/or complete the information needed below in order to continue.

License/Data Use Agreement

Our Community Norms as well as good scientific practices expect that proper credit is given via citation. Please use the data citation shown on the dataset page.

MIT License

Name

Institution

Position

Preview Guestbook

Upon downloading files the guestbook asks for the following information.

Guestbook Name

Collected Data

Account Information

Package File Download

Use the Download URL in a Wget command or a download manager to download this package file. Download via web browser is not recommended. User Guide - Downloading a Dataverse Package via URL

Download URL

https://darus.uni-stuttgart.de/api/access/datafile/

Compute Batch

Clear Batch

Dataset	Persistent Identifier	Change Compute Batch

Compute Batch

Submit for Review

Please use the publication checklist for authors ( https://www.izus.uni-stuttgart.de/en/fokus/darus/publication/ ) to ensure publication readiness. You will not be able to make changes to this dataset while it is in review.

Publish Dataset

Are you sure you want to republish this dataset?

Select if this is a minor or major version update.

Minor Release (1.1)

Major Release (2.0)

Publish Dataset

This dataset cannot be published until KR-Building (EXC IntCDC) is published by its administrator.

Publish Dataset

This dataset cannot be published until KR-Building (EXC IntCDC) and Analytic Computing are published.

Return to Author

Return this dataset to contributor for modification. The reason for return entered below will be sent by email to the author.