A Vocabulary-Independent Generation Framework for DBpedia and beyond
The DBpedia Extraction Framework, the generation framework behind one of the Linked Open Data cloud’s central hubs, has limitations which lead to quality issues with the DBpedia dataset. Therefore, we provide a new take on its Extraction Framework that allows for a sustainable and general-purpose Linked Data generation framework by adapting a semantic-driven approach. The proposed approach decouples, in a declarative manner, the extraction, transformation, and mapping rules execution. This way, among others, interchanging different schema annotations is supported, instead of being coupled to a certain ontology as it is now, because the DBpedia Extraction Framework allows only generating a certain dataset with a single semantic representation. In this paper, we shed more light to the added value that this aspect brings. We provide an extracted DBpedia dataset using a different vocabulary, and give users the opportunity to generate a new DBpedia dataset using a custom combination of vocabularies.
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Published in 2017 in Proceedings of the 16th International Semantic Web Conference: Posters and Demos.
- RML
- DBpedia
- Linked Data
- rules
- Linked Data generation
- annotation
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Cite this article easily using its BibTeX entry:
@inproceedings{demeester_iswc_demo_2017,
author = {De Meester, Ben and Dimou, Anastasia and Maroy, Wouter and Kontokostas, Dimitris and Verborgh, Ruben and Lehmann, Jens and Mannens, Erik and Hellmann, Sebastian},
title = {A Vocabulary-Independent Generation Framework for {DBpedia} and beyond},
booktitle = {Proceedings of the 16th International Semantic Web Conference: Posters and Demos},
year = 2017,
month = oct,
url = {https://iswc2017.semanticweb.org/wp-content/uploads/papers/PostersDemos/paper582.pdf},
}
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- ACM
- Ben De Meester, Anastasia Dimou, Wouter Maroy, Dimitris Kontokostas, Ruben Verborgh, Jens Lehmann, Erik Mannens, and Sebastian Hellmann. 2017. A Vocabulary-Independent Generation Framework for DBpedia and beyond. In Proceedings of the 16th International Semantic Web Conference: Posters and Demos.
- APA
- De Meester, B., Dimou, A., Maroy, W., Kontokostas, D., Verborgh, R., Lehmann, J., Mannens, E., & Hellmann, S. (2017, October). A Vocabulary-Independent Generation Framework for DBpedia and beyond. Proceedings of the 16th International Semantic Web Conference: Posters and Demos.
- IEEE
- B. De Meester et al., “A Vocabulary-Independent Generation Framework for DBpedia and beyond,” in Proceedings of the 16th International Semantic Web Conference: Posters and Demos, 2017.
- LNCS
- De Meester, B., Dimou, A., Maroy, W., Kontokostas, D., Verborgh, R., Lehmann, J., Mannens, E., Hellmann, S.: A Vocabulary-Independent Generation Framework for DBpedia and beyond. In: Proceedings of the 16th International Semantic Web Conference: Posters and Demos (2017).
- MLA
- De Meester, Ben, et al. “A Vocabulary-Independent Generation Framework for DBpedia and Beyond.” Proceedings of the 16th International Semantic Web Conference: Posters and Demos, 2017.
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