- From: Kingsley Idehen <kidehen@openlinksw.com>
- Date: Thu, 8 Oct 2015 19:59:57 -0400
- To: public-lod@w3.org
- Message-ID: <5617037D.50004@openlinksw.com>
On 10/8/15 12:09 PM, Nandana Mihindukulasooriya wrote: > 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. Great effort, very cool !! -- Regards, Kingsley Idehen Founder & CEO OpenLink Software Company Web: http://www.openlinksw.com Personal Weblog 1: http://kidehen.blogspot.com Personal Weblog 2: http://www.openlinksw.com/blog/~kidehen Twitter Profile: https://twitter.com/kidehen Google+ Profile: https://plus.google.com/+KingsleyIdehen/about LinkedIn Profile: http://www.linkedin.com/in/kidehen Personal WebID: http://kingsley.idehen.net/dataspace/person/kidehen#this
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Received on Friday, 9 October 2015 00:00:19 UTC