Data Analysis of Hierarchical Data for RDF Term Identification
Generating Linked Data based on existing data sources requires the modeling of their information structure. This modeling needs the identification of potential entities, their attributes and the relationships between them and among entities. For databases this identification is not required, because a data schema is always available. However, for other data formats, such as hierarchical data, this is not always the case. Therefore, analysis of the data is required to support RDF term and data type identification. We introduce a tool that performs such an analysis on hierarchical data. It implements the algorithms, Daro and S-Daro, proposed in this paper. Based on our evaluation, we conclude that S-Daro offers a more scalable solution regarding run time, with respect to the dataset size, and provides more complete results.
Published in 2016 in Proceedings of the Joint International Semantic Technology Conference.
- RDF
- Linked Data
Read this article online
- Request a digital copy of this article.
- Comment on this article.
Cite this article in your work
Cite this article easily using its BibTeX entry:
@inproceedings{heyvaert_jist_2016,
author = {Heyvaert, Pieter and Dimou, Anastasia and Verborgh, Ruben and Mannens, Erik},
title = {Data Analysis of Hierarchical Data for {RDF} Term Identification},
booktitle = {Proceedings of the Joint International Semantic Technology Conference},
year = 2016,
month = nov,
}
Alternatively, pick a reference of your choice below:
- ACM
- Pieter Heyvaert, Anastasia Dimou, Ruben Verborgh, and Erik Mannens. 2016. Data Analysis of Hierarchical Data for RDF Term Identification. In Proceedings of the Joint International Semantic Technology Conference.
- APA
- Heyvaert, P., Dimou, A., Verborgh, R., & Mannens, E. (2016, November). Data Analysis of Hierarchical Data for RDF Term Identification. Proceedings of the Joint International Semantic Technology Conference.
- IEEE
- P. Heyvaert, A. Dimou, R. Verborgh, and E. Mannens, “Data Analysis of Hierarchical Data for RDF Term Identification,” in Proceedings of the Joint International Semantic Technology Conference, 2016.
- LNCS
- Heyvaert, P., Dimou, A., Verborgh, R., Mannens, E.: Data Analysis of Hierarchical Data for RDF Term Identification. In: Proceedings of the Joint International Semantic Technology Conference (2016).
- MLA
- Heyvaert, Pieter, et al. “Data Analysis of Hierarchical Data for RDF Term Identification.” Proceedings of the Joint International Semantic Technology Conference, 2016.
Discuss this article
- Discover all publications by Ruben Verborgh.
- Find related articles on Google Scholar.
- Post your questions or comments below.