Storing and presenting noteworthy negative statements would be important to overcome current limitations in various use cases.
In this demo, we introduce the Wikinegata portal, which implements a peer-based ranking method for inferring interesting negations in KBs, and provides a platform to explore these statements for Wikidata entities.
More details on the methodology in "Publications".
Wikinegata: a Knowledge Base with Interesting Negative Statements. - VLDB 2021 [PDF][VIDEO]
Negative Knowledge for Open-world Wikidata. - WWW Companion 2021 [LINK]
Negative Statements Considered Useful. - Journal of Web Semantics 2021 [PDF]
Enriching KBs with Interesting Negative Statements. - AKBC 2020 (People Choice Award)
[PDF] [VIDEO] [SLIDES]
Related Publications.
Tutorial on Negation in Knowledge Bases. - VLDB 2021 [PDF][SLIDES]
Neguess: Wikidata-entity Guessing Game with Negative Clues. - ISWC 2021 [PDF]
Classes covered.
Structured facets: people (Q5) - peering by profession (P106).
Graph-based measures and Wikipedia embeddings: people (Q5); books (Q571); primary schools (Q9842); films (Q11424); buildings (Q41176); organizations (Q43229); musical groups (Q215380); businesses (Q4830453); scientific journals (Q5633421); literary work (Q7725634); countries (Q3624078).
