X2Q Your personal examplebased graph explorer

Matteo Lissandrini, Davide Mottin, Yannis Velegrakis, Themis Palpanas

Research output: Contribution to journalConference article in JournalResearchpeer-review

5 Citations (Scopus)

Abstract

Exploring knowledge graphs can be a daunting task for any user, expert or novice. This is due to the complexity of the schema or because they are unfamiliar with the contents of the data, or even because they do not know precisely what they are looking for. For the same reason there is a significant demand for exploratory methods for this kind of data. We propose X 2 Q, a system that facilitates the exploration of knowledge graphs with a hands-on approach. X 2 Q embodies the exible multi-exemplar query paradigm, in which easy to express examples serve as the basis for formulating sophisticated, and hard to express queries. Our system helps building examples in an interactive fashion, by showing results of the partial exemplar query as well as suggestions for improving the current examples. Then, the user feedback is incorporated in our scores to filter the irrelevant suggestions upfront. X 2 Q returns answers in real-time on Freebase, one of the largest available knowledge graphs.

Original languageEnglish
JournalProceedings of the VLDB Endowment
Volume11
Issue number12
Pages (from-to)2026-2029
Number of pages4
ISSN2150-8097
DOIs
Publication statusPublished - 1 Jan 2018
Externally publishedYes
Event44th International Conference on Very Large Data Bases, VLDB 2018 - Rio de Janeiro, Brazil
Duration: 27 Aug 201731 Aug 2017

Conference

Conference44th International Conference on Very Large Data Bases, VLDB 2018
Country/TerritoryBrazil
CityRio de Janeiro
Period27/08/201731/08/2017

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