Loupe - a tool for inspecting and exploring datasets

Hi all,

We are developing a tool called Loupe [ http://loupe.linkeddata.es ] for
inspecting and exploring datasets to understand which vocabularies
(classes, and properties) are used in a dataset and which are common triple
patterns. Loupe has some similarities to LODStat, Aether, ProLOD++, etc.
but it provides the ability to dig into more details. It also connects the
information provided directly to data so that so that one can see the
triples that correspond to those numbers.  At the moment, it indexes 2+
billion triples from datasets including DBpedia (17 languages), wikidata,
Linked Brainz, Bio models, etc.

It's easier to describe what information Loupe provides using an example.
If we take the DBpedia dataset, first it provides a summary with the number
of triples, distinct subjects, objects, their composition (IRIs, blank
nodes, literals), etc. and summary of the other information that we will
present below.  http://tinyurl.com/loupe-dbpedia

The class explorer provides the list of 941 classes used, number of
instances per each class, number classes in each namespace etc. It also
allows you to search for classes. http://tinyurl.com/dbpedia-classes

If we select a concrete class such as dbo:Person, it shows the 13,128
distinct properties associated with instances of dbo:Person and the
probability that a given property is found in an instance. It also provides
a list 438 other types that are declared in dbo:Person instances which can
be equivalents classes, superclasses, subclasses, etc.
http://tinyurl.com/dbo-person

The property explorer provides a list of 60347 properties with the number
of triples, number properties in each namespace etc. It also allows
searching. http://tinyurl.com/dbpedia-properties

Again, if we select a concrete property such as dbprop:name, it looks at
all the triples that contain the given property and analyze the subjects
and objects of those triples. For subjects, it looks at IRI / blank node
counts and also the their types. For objects, it does the same but
additionally analyzes literals for numeric, integers, averages, min, max,
etc. http://tinyurl.com/dbp-name

The triple pattern explorer allows you to search the 3,807,196 abstract
triple patterns. http://tinyurl.com/dbpedia-triple-patterns
Or you can select a pattern you are interested, for instance what are the
properties that connect dbo:Politician to dbo:Criminal
http://tinyurl.com/politician-criminal

In all these cases, the numbers are directly linked to the corresponding
triples.

That's a glimpse of Loupe.  We would like to know whether it useful to your
use cases so that we can keep improving it. It's still in its early stages
so any feedback on improvements are more than welcome. If are interested,
we will we doing a demo [1] at ISWC 2015.

Best Regards,
Nandana Mihindukulasooriya
María Poveda Villalón
Raúl García Castro
Asunción Gómez Pérez

[1] Nandana Mihindukulasooriya, María Poveda Villalón, Raúl García Castro,
and Asunción Gómez Pérez. "Loupe - An Online Tool for Inspecting Datasets
in the Linked Data Cloud", Demo at The 14th International Semantic Web
Conference, Bethlehem, USA, 2015.