Brief Description

Storing and presenting *noteworthy* negative RDF triples would be important to overcome current limitations in various use cases. In this demo, we introduce Neguess, which implements a peer-based ranking method for inferring interesting negative clues in KBs.

Publications

Wikinegata: a Knowledge Base with Interesting Negative Statements. - VLDB 2021 [PDF]

Negative Knowledge for Open-world Wikidata. - WWW Companion 2021 [PDF]

Negative Statements Considered Useful. - arXiv 2020 [LINK]

Enriching KBs with Interesting Negative Statements. - AKBC 2020 (People Choice Award)[PDF] [VIDEO] [SLIDES]