Difference between revisions of "New ideas for coding with Arrays, Lists and Sequences in RDF"

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Line 21: Line 21:
 
  arlise:Station1
 
  arlise:Station1
 
   rdf:type arlise:SoR ;
 
   rdf:type arlise:SoR ;
   arlise:hasList "{1 5 10 15 22 24 25 18 17 10 5 0}" ;
+
   arlise:hasList "{1,5,10,15,22,24,25,18,17,10,5,0}" ;
 
  .
 
  .
  

Revision as of 08:14, 3 July 2019

New ideas to deal with large series of data points in RDF in the form of arrays, lists and similar data structures.

currently RDF data model proposed rdf:Bag and rdf:Seq in the form of

resource1 a rdf:Bag;
 rdf:_1 "1323";
 rdf:_2 "1321";
.

we propose here the following additional notation for large sequences:

Numbers Array:

arlise:Station1
 rdf:type arlise:SoR ;
 arlise:hasArray "{1:1,2:5,3:10,4:15,5:22,6:24,7:25,8:18,9:17,10:10,11:5,12:0}" ;
.

Numbers List:

arlise:Station1
 rdf:type arlise:SoR ;
 arlise:hasList "{1,5,10,15,22,24,25,18,17,10,5,0}" ;
.

Numbers Array:

arlise:Station1
 rdf:type arlise:SoR ;
 arlise:ArLeSeq_Multi "{'Mike':4,'Peter':5,'Gregg':8,'Tim':6}" ;
.

Strings Sorted:

resource1 lotico:ArLiSeq_SS {1:'Mike',2:'Peter',3:'Tim;4:'Marco',....}

Strings unsorted:

resource1 lotico:ArLiSeq_SU "{'Mike','Peter','Tim','Marco',....}"


JSON object

resource1 lotico:ArLiSeq_JSON "%7B%20%22name%22%3A%22Marco%22%2C%20%22age%22%3A30%2C%20%22car%22%3Anull%20%7D";


Access Method Examples

SELECT avg(?array)
WHERE{
 ?resource arlise:hasArray ?array
}
SELECT ?array[1]
WHERE{
 ?resource arlise:hasArray ?array
}