Integrating the Wikidata Taxonomy into YAGO

08/23/2023
by   Fabian Suchanek, et al.
0

Wikidata is one of the largest public general-purpose Knowledge Bases (KBs). Yet, due to its collaborative nature, its schema and taxonomy have become convoluted. For the YAGO 4 KB, we combined Wikidata with the ontology from Schema.org, which reduced and cleaned up the taxonomy and constraints and made it possible to run automated reasoners on the data. However, it also cut away large parts of the Wikidata taxonomy. In this paper, we present our effort to merge the entire Wikidata taxonomy into the YAGO KB as much as possible. We pay particular attention to logical constraints and a careful distinction of classes and instances. Our work creates YAGO 4.5, which adds a rich layer of informative classes to YAGO, while at the same time keeping the KB logically consistent.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
06/06/2022

On the Origins of Objects by Means of Careful Selection

We introduce a taxonomy of objects for EO programming language. This tax...
research
05/23/2022

A Taxonomy of Schema Changes for NoSQL Databases

Schema evolution is a crucial aspect in database management. The propose...
research
02/23/2016

SIFT: An Algorithm for Extracting Structural Information From Taxonomies

In this work we present SIFT, a 3-step algorithm for the analysis of the...
research
05/27/2011

Ontology Alignment at the Instance and Schema Level

We present PARIS, an approach for the automatic alignment of ontologies....
research
07/19/2023

RaTE: a Reproducible automatic Taxonomy Evaluation by Filling the Gap

Taxonomies are an essential knowledge representation, yet most studies o...
research
06/09/2022

A taxonomy of explanations to support Explainability-by-Design

As automated decision-making solutions are increasingly applied to all a...
research
05/20/2021

Generating Significant Examples for Conceptual Schema Validation

This report bases itself on the idea of using concrete examples to verif...

Please sign up or login with your details

Forgot password? Click here to reset