QuestPro: Queries in SPARQL through provenance

Efrat Abramovitz, Daniel Deutch, Amir Gilad

Research output: Contribution to journalConference articlepeer-review

Abstract

We propose to demonstrate QuestPro, a prototype interactive system aimed at allowing non-expert users to specify SPARQL queries. Notably, QuestPro makes an extensive use of provenance in deriving the SPARQL queries, in two ways. First, we ask users to provide example output nodes along with explanations that are then treated as the provenance of the underlying query, guiding the system's search for a fitting query. We have designed an intuitive interface through which users can gradually build their explanations while understanding the connections between the different objects. The system then generates a set of candidate queries and uses provenance to explain each candidate, prompting user feedback to choose between them. We will demonstrate the usability of QuestPro using an ontology of academic publications, engaging the audience in the interactive process while explaining the under-the-hood model and algorithms.

Original languageEnglish
Pages (from-to)1994-1997
Number of pages4
JournalProceedings of the VLDB Endowment
Volume11
Issue number12
DOIs
StatePublished - 1 Jan 2018
Externally publishedYes
Event44th International Conference on Very Large Data Bases, VLDB 2018 - Rio de Janeiro, Brazil
Duration: 27 Aug 201831 Aug 2018

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Computer Science (all)

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