We present a knowledge integration framework (called KIF) that uses Wikidata
as a lingua franca to integrate heterogeneous knowledge bases. These can be
triplestores, relational databases, CSV files, etc., which may or may not use
the Wikidata dialect of RDF. KIF leverages Wikidata's data model and vocabulary
plus user-defined mappings to expose a unified view of the integrated bases
while keeping track of the context and provenance of their statements. The
result is a virtual knowledge base which behaves like an "extended Wikidata"
and which can be queried either through an efficient filter interface or using
SPARQL. We present the design and implementation of KIF, discuss how we have
used it to solve a real integration problem in the domain of chemistry
(involving Wikidata, PubChem, and IBM CIRCA), and present experimental results
on the performance and overhead of KIF.

我们提出了一个知识集成框架（称为 KIF），它使用 Wikidata 作为语言中介来整合异构的知识库，利用用户定义的映射将其统一地展示为一个虚拟知识库，并可以通过高效的过滤接口或使用 SPARQL 进行查询。