SPARQLIt: Interactive SPARQL query refinement

Yael Amsterdamer, Yehuda Callen

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


We propose to demonstrate an interactive system called SPARQLIt, assisting users in the formulation of SPARQL queries. In SPARQLIt, users start by specifying a well-structured SPARQL query; the challenge is that the query may not be grounded to a specific ontology schema or content. The space of possible grounded queries to which the user query may be mapped is then well-defined, and SPARQLIt allows the user to interactively explore this space in a systematic way. A key component of this exploration is a pruning mechanism that is based on identifying query parts that are correct/incorrect, and using them to efficiently filter candidate queries of a certain form. Our demonstration will use the Yago Ontology to exemplify the ease of constructing queries with SPARQLIt without prior knowledge of its contents. We will allow participants to specify queries of their choice and will walk them through the interactive process of query refinement.

Original languageEnglish
Title of host publicationProceedings - 2021 IEEE 37th International Conference on Data Engineering, ICDE 2021
PublisherIEEE Computer Society
Number of pages4
ISBN (Electronic)9781728191843
StatePublished - Apr 2021
Event37th IEEE International Conference on Data Engineering, ICDE 2021 - Virtual, Chania, Greece
Duration: 19 Apr 202122 Apr 2021

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627


Conference37th IEEE International Conference on Data Engineering, ICDE 2021
CityVirtual, Chania

Bibliographical note

Publisher Copyright:
© 2021 IEEE.


ACKNOWLEDGEMENTS This work was funded in part by the Israel Science Foundation (grant No. 1157/16).

FundersFunder number
Israel Science Foundation1157/16


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