Ask HN: Perspectives on graph-bound logical inference
I am researching graph processing (OLTP) and graph databases for a system where semanticity is inherent.
I am currently exploring logical inference (or reasoning) (Stardog [1], GraphDB [2], Grakn [3]) and stumbled upon «The Semantic Web, Syllogism, and Worldview» (2003) [0].
Semantics aside (this system would mandate for Stardog and Grakn’s lazy reasoning rather than GraphDB’s total materialization), I am interested in practical analyses of logical inference as I find some [0] arguments to be sound and atemporal and am therefore “undirected.”
Although it does not support automatic reasoning, Datomic [4] viewpoints are welcome.
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[2] http://graphdb.ontotext.com/documentation/enterprise/reasoni...
[3] http://dev.grakn.ai/docs/knowledge-model/inference
[4] https://docs.datomic.com/on-prem/query.html