Applying a Multi-Level Modeling Theory to Assess Taxonomic Hierarchies in Wikidata

被引：33

作者：

Brasileiro, Freddy ^{[1
]}

Almeida, Joao Paulo A. ^{[1
]}

Carvalho, Victorio A. ^{[1
,2
]}

Guizzardi, Giancarlo ^{[1
]}

机构：

[1] Fed Univ Espirito Santo UFES, Dept Informat, Ontol & Conceptual Modeling Res Grp NEMO, Vitoria, ES, Brazil

[2] Fed Inst Espirito Santo IFES, Dept Informat, Res Grp Appl Informat, Vitoria, ES, Brazil

来源：

PROCEEDINGS OF THE 25TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'16 COMPANION) | 2016年

关键词：

Multi-level modeling; metamodeling; Wikidata; taxonomies;

D O I：

10.1145/2872518.2891117

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

Wikidata captures structured data on a number of subject domains, managing, among others, the information underlying Wikipedia and other Wikimedia projects. Wikidata serves as a repository of structured data, whose purpose is to support the consistent sharing and linking of data on the Web. To support these purposes, it is key that Wikidata is built on consistent data models and representation schemas, which are constructed and managed in a collaborative platform. In this paper, we address the quality of taxonomic hierarchies in Wikidata. We focus on taxonomic hierarchies with entities at different classification levels (particular individuals, types of individuals, types of types of individuals, etc.). We use an axiomatic theory for multi-level modeling to analyze current Wikidata content, and identify a significant number of problematic classification and taxonomic statements. The problems seem to arise from an inadequate use of instantiation and subclassing in certain Wikidata hierarchies.

引用

页码：975 / 980

页数：6

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