preprint · HAL (Le Centre pour la Communication Scientifique Directe) · 2020

SemCat: Source Selection Services for Linked Data

Pascal Molli, Hala Skaf‐Molli, Arnaud Grall

Cited by 1Open access

Abstract

As a web search engine is able to find relevant sources for a keyword query, the web of data clearly needs a source selection engine able to find relevant endpoints for a SPARQL query. However, source selection requires to get informations about the content of endpoints and currently, it remains difficult to automatically explore the content of endpoints as web robots explore the content of web servers. Thanks to the web preemption principle, we propose to automatically build RDF summaries of endpoints through SPARQL queries. We propose SemCat, an approach to compute the source selection of a query Q by evaluating a rewriting of Q on summaries. As all queries terminate under the web preemption paradigm, SemCat is able to provide a web automated source selection service relying on preemptable SPARQL servers. We empirically demonstrate that various summaries can be extracted with a data transfer proportional to the size of the summary, and highlight the trade-off between the size of the summaries, the accuracy of source selection and the execution time of source selection.

Cite this paper

APA 7

Molli, P., Skaf‐Molli, H., & Grall, A. (2020). SemCat: Source Selection Services for Linked Data. HAL (Le Centre pour la Communication Scientifique Directe).

MLA 9

Molli, Pascal, et al. “SemCat: Source Selection Services for Linked Data.” HAL (Le Centre pour la Communication Scientifique Directe), 2020.

Chicago

Molli, Pascal, Hala Skaf‐Molli, and Arnaud Grall. 2020. “SemCat: Source Selection Services for Linked Data.” HAL (Le Centre pour la Communication Scientifique Directe).

Harvard

Molli, P., Skaf‐Molli, H. and Grall, A. (2020) ‘SemCat: Source Selection Services for Linked Data’, HAL (Le Centre pour la Communication Scientifique Directe).

BibTeX

@misc{molli2020semcat,
  title = {{SemCat: Source Selection Services for Linked Data}},
  author = {Molli, Pascal and Skaf‐Molli, Hala and Grall, Arnaud},
  journal = {HAL (Le Centre pour la Communication Scientifique Directe)},
  year = {2020}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.