0.25
0.5
0.75
1.25
1.5
1.75
2
Learning Commonalities in SPARQL
Published on Nov 28, 2017782 Views
Finding the commonalities between descriptions of data or knowledge is a foundational reasoning problem of Machine Learning. It was formalized in the early 70’s as computing a least general generaliza
Related categories
Chapter list
Learning Commonalities in SPARQL00:00
Introduction00:12
Outline01:31
RDF graphs01:47
Adding ontological knowledge to RDF graphs02:23
Deriving the implicit triples02:46
Sample set of entailment rules03:00
Semantics of RDF graphs03:19
Basic graph pattern queries (BGPQ)03:33
Entailing and answering queries04:11
Entailing and answering queries04:48
Entailing between BGPQs05:17
Towards defining lgg in SPARQL conjunctive fragment05:40
Defining the lgg of queries06:18
Entailment relation between BGPQs w.r.t. background knowledge07:20
Saturation of queries08:01
Defining the lgg of queries w.r.t. background knowledge08:37
Defining the lgg of queries w.r.t. background knowledge - 109:07
Defining the lgg of queries09:26
The cover of SPARQL queries09:41
The cover of SPARQL queries - 110:22
The cover of SPARQL queries - 210:41
The cover of SPARQL queries - 311:18
The cover of SPARQL queries - 411:58
Cover graph vs lgg12:22
lgg of DBPedia queries12:43
Related work13:44
Conclusion14:19
Questions14:54