Towards an RDF Analytics Language: Learning from Successful Experiences

@inproceedings{Maali2013TowardsAR,
  title={Towards an RDF Analytics Language: Learning from Successful Experiences},
  author={Fadi Maali and Stefan Decker},
  booktitle={COLD},
  year={2013}
}
SPARQL, the W3C standard querying language for RDF, provides rich capabilities for slicing and dicing RDF data. The latest version, SPARQL 1.1, added support for aggregation, nested and distributed queries among others. Nevertheless, the purely declarative nature of SPARQL and the lack of support for common programming patterns, such as recursion and iteration, make it challenging to perform complex data processing and analysis in SPARQL. In the database community, similar limitations of SQL… CONTINUE READING

Citations

Publications citing this paper.
Showing 1-2 of 2 extracted citations

Design of a Framework for Knowledge Analytics

2016 22nd Annual International Conference on Advanced Computing and Communication (ADCOM) • 2016
View 5 Excerpts
Highly Influenced

References

Publications referenced by this paper.
Showing 1-10 of 28 references

Ontology Matching: State of the Art and Future Challenges

IEEE Transactions on Knowledge and Data Engineering • 2013
View 1 Excerpt

Similar Papers

Loading similar papers…