Corpus ID: 6564357

RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data

@inproceedings{Dimou2014RMLAG,
  title={RML: A Generic Language for Integrated RDF Mappings of Heterogeneous Data},
  author={Anastasia Dimou and M. V. Sande and P. Colpaert and R. Verborgh and E. Mannens and R. Walle},
  booktitle={LDOW},
  year={2014}
}
Despite the signicant number of existing tools, incorporating data from multiple sources and dierent formats into the Linked Open Data cloud remains complicated. No mapping formalisation exists to dene how to map such heterogeneous sources into rdf in an integrated and interoperable fashion. This paper introduces the rml mapping language, a generic language based on an extension over r2rml, the w3c standard for mapping relational databases into rdf. Broadening r2rml’s scope, the language… Expand
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References

SHOWING 1-8 OF 8 REFERENCES
Extending R2RML to a Source-independent Mapping Language for RDF
TLDR
This work proposes the extension of R2RML to also support mappings of data sources in other structured formats (indicatively CSV, TSV, XML, JSON) and focuses on the mappings and their optimal reuse. Expand
Mapping between RDF and XML with XSPARQL
TLDR
The XSPARQL language is presented, by combining XQuery and SPARQL, that allows to query XML and RDF data using the same framework and transform data from one format into the other. Expand
Enabling Linked Data Publication with the Datalift Platform
TLDR
Datalift, a framework and a platform helping to lift raw data sources to semantic interlinked data sources, is presented. Expand
A comparison of RDB-to-RDF mapping languages
TLDR
A feature-based comparison of the state-of-the-art RDB-to-RDF mapping languages is provided and a classification proposes four categories of mapping languages: direct mapping, read-only general-purpose mapping, reading-write general- Purpose mapping, and special- purpose mapping. Expand
Mapping Master: A Flexible Approach for Mapping Spreadsheets to OWL
TLDR
The developed language, called M2, overcomes shortcomings with existing mapping techniques, including their restriction to well-formed spreadsheets reminiscent of a single relational database table and verbose syntax for expressing mapping rules when transforming spreadsheet contents into OWL. Expand
Krextor - An Extensible Framework for Contributing Content Math to the Web of Data
  • C. Lange
  • Computer Science
  • Calculemus/MKM
  • 2011
An increasing amount of scientific knowledge is being contributed to the emerging Web of [Linked] Data, where it is made available in a machine-comprehensible way and interlinked with other relatedExpand
XLWrap - Querying and Integrating Arbitrary Spreadsheets with SPARQL
TLDR
A novel approach is presented for generating RDF graphs of arbitrary complexity from various spreadsheet layouts that features a full expression algebra based on the syntax of OpenOffice Calc and various shift operations, which can be used to wrap cross tables including multiple sheets and spreadsheet files. Expand
Vander Sande P.