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 language | English |
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| Journal | Proceedings of the VLDB Endowment |
| Volume | 11 |
| Issue number | 12 |
| Pages (from-to) | 2026-2029 |
| Number of pages | 4 |
| ISSN | 2150-8097 |
| DOIs | |
| Publication status | Published - 1 Jan 2018 |
| Externally published | Yes |
| Event | 44th International Conference on Very Large Data Bases, VLDB 2018 - Rio de Janeiro, Brazil Duration: 27 Aug 2017 → 31 Aug 2017 |
Conference
| Conference | 44th International Conference on Very Large Data Bases, VLDB 2018 |
|---|---|
| Country/Territory | Brazil |
| City | Rio de Janeiro |
| Period | 27/08/2017 → 31/08/2017 |