LDIF - Linked Data Integration Framework

@inproceedings{Schultz2011LDIFL,
  title={LDIF - Linked Data Integration Framework},
  author={Andreas Schultz and Andrea Matteini and Robert Isele and Christian Bizer and Christian Becker},
  booktitle={COLD},
  year={2011}
}
The Linked Data Integration Framework can be used within Linked Data applications to translate heterogeneous data from the Web of Linked Data into a clean local target representation while keeping track of data provenance. LDIF provides an expressive mapping language for translating data from the various vocabularies that are used on the Web into a consistent, local target vocabulary. LDIF includes an identity resolution component which discovers URI aliases in the input data and replaces them… CONTINUE READING
Highly Cited
This paper has 63 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Citations

Publications citing this paper.
Showing 1-10 of 42 extracted citations

A framework for linked data fusion and quality assessment

2017 3th International Conference on Web Research (ICWR) • 2017
View 5 Excerpts
Highly Influenced

Building Linked Data Agents for Mobility Applications

2018 IEEE 12th International Conference on Semantic Computing (ICSC) • 2018
View 1 Excerpt

63 Citations

01020'13'15'17'19
Citations per Year
Semantic Scholar estimates that this publication has 63 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…