  Cross-domain knowledge bases such as DBpedia, Freebase and YAGO have emerged
as encyclopedic hubs in the Web of Linked Data. Despite enabling several
practical applications in the Semantic Web, the large-scale, schema-free nature
of such graphs often precludes research groups from employing them widely as
evaluation test cases for entity resolution and instance-based ontology
alignment applications. Although the ground-truth linkages between the three
knowledge bases above are available, they are not amenable to resource-limited
applications. One reason is that the ground-truth files are not self-contained,
meaning that a researcher must usually perform a series of expensive joins
(typically in MapReduce) to obtain usable information sets. In this paper, we
upload several publicly licensed data resources to the public cloud and use
simple Hadoop clusters to compile, and make accessible, three cross-domain
self-contained test cases involving linked instances from DBpedia, Freebase and
YAGO. Self-containment is enabled by virtue of a simple NoSQL JSON-like
serialization format. Potential applications for these resources, particularly
related to testing transfer learning research hypotheses, are also briefly
described.
