RDF | A code to compute the radial distribution function

To complete the question, I'm posting my comment above as an answer...

To make it work, You need to define some meaning to your properties ex:isPartOf and ex:livesIn. Suggest to make ex:isPartOf transitive and then to define ex:livesIn as a property chain over ex:isPartOf, e.g.:

The CoRB StreamingXPath is not currently able to register and leverage namespaces and namespace-prefixes, so the XPath targeting namespace-qualified elements can't leverage namespace-prefixes.

A more generic match on the document element with a predicate filtering by local-name() will work though. It's a little ugly and a lot more typing, but works:

In V4.0 BillingClient method callbacks call in background thread, not in Main thread.

Workaround is to change thread to Main in BillingClient callbacks.

Call you method processPurchases() with Toast in UI thread.

similar to my answer for https://www.biostars.org/p/280581/ using my tool xsltstream:

By "duplicate keys", I presume you mean the same term used as a property key at different levels of the JSON document. For this, JSON-LD has the notion of a Scoped Context, whereby you can have a context come into play inside of the value of some property, or where a type is in effect. In this way, for example, you could define "value" to map to one IRI at the top level, and within the term definition of "value" (or some other intervening property), define a new context which redefines the mapping for "value"

Regarding @vocab and @id, @id is considered a document-relative term, and string values are expanded from the document base, or @base, if defined in the active context (see section 4.1.3 Base IRI). @vocab is used for expanding vocabulary-relative term such as @type and object property keys, which aren't otherwise defined as terms (see section 4.1.2 Default Vocabulary.

Sure! The complicated part is probably how to best describe the relation of being replaced:

SPARQL Query semantics specify how portions of the query are joined together. Your sub-query does not project any common variables that are shared with the outer query. It only SELECTs the ?allOwners variable which does not appear in the rest of the query.

This means that you get a cross product of all the counts and all your other results; this is why you get duplicate rows and no correlations between the counts and rows.

This kind of query can be achieved if you structure it correctly. Since you haven't provided example results you desire, I'm having to make a best guess of what you want. Something like the following may have the desired results:

The solution is a multi step process, extract the database node, convert to text, clean up and then convert back to xml with the read_xml() function.

It works in Jena 4.0.0.

In 3.17.0 - SPARQL was more like the original RDF* in its use of indexing.

As a consequence, the non-canonical term map cause a problem.

Try a lexical form of "1.0e0"^^xsd:double or v 4.x.x.