What is DBpedia Archivo?

DBpedia Archivo is an online interface and augmented archive for all kinds of vocabularies. It automatically crawls for new ontologies, updates the already enlisted ontologies regularly and performs some useful tests to check the fitness of the vocabulary for the semantic web.

Archivo's mission

Archivo's mission is to improve FAIRness (findability, accessibility, interoperability, and reusability) of all available ontologies on the Semantic Web. Archivo is not a guideline, it is fully automated, machine-readable and enforces interoperability with its star rating.

• Ontology developers can implement against Archivo until they reach more stars. The stars and tests are designed to guarantee the interoperability and fitness of the ontology.
• Ontology users can better find, access and re-use ontologies. Snapshots are persisted in case the original is not reachable any more adding a layer of reliability to the decentral web of ontologies.

Contact

Community feedback

• Github Issue Tracker (Technical problems and discussion)
• DBpedia Archivo @ DBpedia forum (general questions)
• the authors of the Achivo Paper (For academic discussion)

Professional enquiries (Funding & Services)

DBpedia Archivo was developed at the Institute for Applied Informatics (InfAI), Leipzig, Germany. InfAI hosts many of the leading experts in Ontology & Knowledge Engineering and is closely tied to AKSW and DBpedia. InfAI is a transfer and innovation institute and participates in many large-scale, publicly funded projects on the one hand and on the other hand provides ontology development support and professional services to large industrial projects and companies. For professional enquiries, please contact Sebastian Hellman.

Scientific Publication

For a more specific explanation, cf. "DBpedia Archivo - A Web-Scale Interface for Ontology Archiving under Consumer-oriented Aspects".

@inproceedings{freydbpedia,
	title = {DBpedia Archivo - A Web-Scale Interface for Ontology Archiving under Consumer-oriented Aspects}, 
	author = {Frey, Johannes and Streitmatter, Denis and G{\"o}tz, Fabian and Hellmann, Sebastian and Arndt, Natanael}, 
	booktitle = {Semantic Systems. The Power of AI and Knowledge Graphs}, 
	publisher = {Springer}, 
	series = {Lecture Notes in Computer Science}, 
	url = {https://svn.aksw.org/papers/2020/semantics_archivo/public.pdf}, 
	volume = 16, 
	year = 2020}

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Watch the presentation video of the SEMANTiCS:

Acknowledgements

This work was partially supported by grants from the Federal Ministry for Economic Affairs and Energy of Germany (BMWi) for the LOD-GEOSS Project(03EI1005E), as well as for the PLASS Project (01MD19003D).