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How Can Reasoner Performance of ABox Intensive Ontologies Be Predicted? Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Data Analysis of Hierarchical Data for RDF Term Identification

Authors : Pieter Heyvaert, Anastasia Dimou, Ruben Verborgh, Erik Mannens

Published in: Semantic Technology

Publisher: Springer International Publishing

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Abstract

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.

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previous chapter Towards Answering Provenance-Enabled SPARQL Queries Over RDF Data Cubes
next chapter PIWD: A Plugin-Based Framework for Well-Designed SPARQL
Footnotes
3
 
4
For brevity, we did not include the code that allows users to determine the data model, keys, and data types separately.
 
5
All experiments were conducted on a 64-bit Ubuntu 14.04 machine with 128 GB of RAM and a 24-core 2.40 GHz CPU. Each algorithm was run in a Docker container and was able to use at any moment a maximum of 8 GB of RAM and 1 CPU core.
 
Literature
1.
Heyvaert, P., Dimou, A., Herregodts, A.-L., Verborgh, R., Schuurman, D., Mannens, E., Walle, R.: RMLEditor: a graph-based mapping editor for linked data mappings. In: Sack, H., Blomqvist, E., d’Aquin, M., Ghidini, C., Ponzetto, S.P., Lange, C. (eds.) ESWC 2016. LNCS, vol. 9678, pp. 709–723. Springer, Heidelberg (2016). doi:10.​1007/​978-3-319-34129-3_​43 CrossRef
2.
Pinkel, C., Schwarte, A., Trame, J., Nikolov, A., Bastinos, A.S., Zeuch, T.: DataOps: seamless end-to-end anything-to-RDF data integration. In: Gandon, F., Guéret, C., Villata, S., Breslin, J., Faron-Zucker, C., Zimmermann, A. (eds.) ESWC 2015. LNCS, vol. 9341, pp. 123–127. Springer, Heidelberg (2015). doi:10.​1007/​978-3-319-25639-9_​24 CrossRef
3.
4.
Dimou, A., Sande, M.V., Colpaert, P., Verborgh, R., Mannens, E., Rik Van de Walle, R.M.L.: A generic language for integrated rdf mappings of heterogeneous data. In: Workshop on Linked Data on the Web (2014)
5.
Chen, P.P.-S.: The entity-relationship model - toward a unified view of data. ACM Trans. Database Syst. (TODS) 1(1), 9–36 (1976)CrossRef
6.
Galiegue, F., Zyp, K., Json schema: core definitions and terminology. In: Internet Engineering Task Force (IETF) (2013)
7.
Soru, T., Marx, E., Ngonga Ngomo, A.-C.: ROCKER - a refinement operator for key discovery. In: Proceedings of the 24th International Conference on World Wide Web, pp. 1025–1033. International World Wide Web Conferences Steering Committee (2015)
8.
Pernelle, N., Saïs, F., Symeonidou, D.: An automatic key discovery approach for data linking. Web Semant. Sci. Serv. Agents WWW 23, 16–30 (2013)CrossRef
Metadata
Title
Data Analysis of Hierarchical Data for RDF Term Identification
Authors
Pieter Heyvaert
Anastasia Dimou
Ruben Verborgh
Erik Mannens
Copyright Year
2016
Book
Semantic Technology

Print ISBN: 978-3-319-50111-6

Electronic ISBN: 978-3-319-50112-3

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-50112-3_15