AIAug 14, 2020

Wikidata on MARS

arXiv:2008.06599v19 citations
Originality Synthesis-oriented
AI Analysis

This work addresses formal data modeling challenges for Wikidata users and developers, representing an incremental extension of existing frameworks.

The paper tackles the problem of formally modeling Wikidata's complex data and inference rules by extending the Multi-Attributed Relational Structures (MARS) framework to handle Wikidata's imprecise datatypes and qualifiers, resulting in a model that fixes several major issues in Wikidata.

Multi-attributed relational structures (MARSs) have been proposed as a formal data model for generalized property graphs, along with multi-attributed rule-based predicate logic (MARPL) as a useful rule-based logic in which to write inference rules over property graphs. Wikidata can be modelled in an extended MARS that adds the (imprecise) datatypes of Wikidata. The rules of inference for the Wikidata ontology can be modelled as a MARPL ontology, with extensions to handle the Wikidata datatypes and functions over these datatypes. Because many Wikidata qualifiers should participate in most inference rules in Wikidata a method of implicitly handling qualifier values on a per-qualifier basis is needed to make this modelling useful. The meaning of Wikidata is then the extended MARS that is the closure of running these rules on the Wikidata data model. Wikidata constraints can be modelled as multi-attributed predicate logic (MAPL) formulae, again extended with datatypes, that are evaluated over this extended MARS. The result models Wikidata in a way that fixes several of its major problems.

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