https://github.com/dbpedia/dbpedia-temporal

DBpedia-TKG is an extension of the DBpedia framework that incorporates temporal dynamics, capturing the evolution of knowledge from Wikipedia over time

https://github.com/dbpedia/dbpedia-temporal

Science Score: 39.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 6 DOI reference(s) in README
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (11.9%) to scientific vocabulary
Last synced: 9 months ago · JSON representation

Repository

DBpedia-TKG is an extension of the DBpedia framework that incorporates temporal dynamics, capturing the evolution of knowledge from Wikipedia over time

Basic Info
Statistics
  • Stars: 6
  • Watchers: 14
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 1 year ago · Last pushed about 1 year ago
Metadata Files
Readme License

README.md

DBpedia Temporal Graph Extraction

The DBpedia Temporal Knowledge Graph (DBpedia-TKG) is an extension of the DBpedia framework that incorporates temporal dynamics, capturing the evolution of knowledge from Wikipedia over time. It provides a rich temporal dataset with over 1.7 billion triples and 270 million distinct start and end times for their lifespans, derived from Wikipedia's meta-history dumps. This repository includes detailed configurations, such as temporal filters and DBpedia ontology versions, enabling flexible extractions tailored to specific use cases. With its temporal annotations, DBpedia-TKG supports advanced applications in temporal reasoning, predictive modeling, and performance benchmarking. It is a valuable resource for researchers and developers interested in dynamic knowledge representation and temporal graph analytics. The dataset is openly available under the CC BY-SA 4.0 license.

Repository Structure

  • deploy contains the relvant files to deploy the DIEF servers and the SPARK cluster to Docker Swarm.
  • execute contains relevant scripts to execute and evaluate DBpedia Temporal construction.
  • eval contains python code to plot the results from the eval process
  • examples contains query examples on extracted DBpedia-TKG data
  • generation.md short documentation to execute a simple extraction
  • ODIBEL framework that currently contains the Scala SPARK code for construction and evaluation of the DBpedia temporal graph (will be migrated soon!)

Datasets

The zenodo repository contains further statisitcs on the TKG.

| Name | Varian | Version | DOI | Other Links | | --- | --- | --- | --- | ---| | DBpedia-TKG | FULL | 2024-06-01 | 10.5281/zenodo.14532571 | Other Formats & Supplements |

Data Model

CSV Snippet

csv head, rel, tail, tStart, tEnd, rStart, rEnd dbo:Leipzig,dbo:populationTotal,"510043"^<xsd:integer>, 2019-08-13, 2019-10-28, 389, 647 dbo:Leipzig,dbo:populationTotal,"605407"^<xsd:integer>, 2019-10-28, 2021-04-11, 647, 250 ...

NQuads Snippet

```turtle "510043" . "2019-08-13 12:02:50"^^xsd:dateTime . "2019-10-28 19:35:51"^^xsd:dateTime .

"605407" . "2019-10-28 19:35:51"^^xsd:dateTime . "2021-04-11 18:51:06"^^xsd:dateTime . ```

Generation Guidelines

see generation.md

Brief Benchmark

see eval/benchmark.md

Development

Development notes.

Pull Submodule

git submodule update --init --recursive

Citing

@inproceedings{DBLP:conf/esws/HoferTRR25, author = {Marvin Hofer and Maximilian Mario T{\"{o}}pfer and Christopher Rost and Erhard Rahm}, editor = {Edward Curry and Maribel Acosta and Mar{\'{\i}}a Poveda{-}Villal{\'{o}}n and Marieke van Erp and Adegboyega K. Ojo and Katja Hose and Cogan Shimizu and Pasquale Lisena}, title = {DBpedia-TKG: Capturing Wikipedia's Evolution as Temporal Knowledge Graphs}, booktitle = {The Semantic Web - 22nd European Semantic Web Conference, {ESWC} 2025, Portoroz, Slovenia, June 1-5, 2025, Proceedings, Part {II}}, series = {Lecture Notes in Computer Science}, volume = {15719}, pages = {262--279}, publisher = {Springer}, year = {2025}, url = {https://doi.org/10.1007/978-3-031-94578-6\_15}, doi = {10.1007/978-3-031-94578-6\_15}, timestamp = {Tue, 10 Jun 2025 17:38:39 +0200}, biburl = {https://dblp.org/rec/conf/esws/HoferTRR25.bib}, bibsource = {dblp computer science bibliography, https://dblp.org} }

Licence

The Generator is GPLv3 and the Dataset is CC-BY-SA 4.0.

Owner

  • Name: DBpedia
  • Login: dbpedia
  • Kind: organization
  • Email: dbpedia-discussion@lists.sourceforge.net

GitHub Events

Total
  • Watch event: 6
  • Member event: 2
  • Push event: 14
  • Pull request event: 3
  • Create event: 4
Last Year
  • Watch event: 6
  • Member event: 2
  • Push event: 14
  • Pull request event: 3
  • Create event: 4