Sep 3, 2019 · In this paper, we tackle this problem by developing statistical techniques for class cardinality estimation in collaborative Knowledge Graph platforms.

Oct 17, 2019 · In this paper, we tackle this problem by developing statistical techniques for class cardinality estimation in collaborative Knowledge Graph platforms.

How can we know if we have all real world entities of a class Cin our Knowledge Base? How many Volcanos are there? How many Hospitals are there?

In this paper, we tackle this problem by developing statistical techniques for class cardinality estimation in collaborative Knowledge Graph platforms. Our ...

Collaborative Knowledge Graph platforms allow humans and automated scripts to collaborate in creating, updating and interlinking entities and facts.

Luggen et al. [16] provide an approach to estimate class completeness in knowledge graphs, and use Wikidata as a use case. ... ... Studies of completeness of ...

Oct 2, 2022 · Bibliographic details on Non-parametric Class Completeness Estimators for Collaborative Knowledge Graphs - The Case of Wikidata.

Non-parametric Class Completeness Estimators for Collaborative Knowledge Graphs—The Case of Wikidata. https://doi.org/10.1007/978-3-030-30793-6_26 · Full ...

Non-Parametric Class Completeness Estimators for Collaborative Knowledge Graphs — The Case of Wikidata. Luggen, Micheal; Difallah, Djellel; Sarasua, Cristina ...

Non-parametric Class Completeness Estimators for Collaborative Knowledge Graphs—The Case of Wikidata. Michael Luggen, Djellel Difallah, Cristina Sarasua ...