gistfile1.txt

RDF SPARQL might be Great for this (from top down oversight perspective; not market participation with stores or little coffee cup mug sellers); e.g. we’re not Google we don't care; we want targeted vendors though; and know all products on market. then associate and do drop ship application property e-commerce venue spaced website deployments; 

drop ship



**Vendor 1:**
vendor1:productX    dc:title    "Cool-O-Matic" .
vendor1:productX    retail:price    "$50.75" .
vendor1:productX    vendor1:partno  "TTK583" .
vendor1:productY    dc:title    "Fluffertron" .
vendor1:productY    retail:price    "$26.50" .
vendor1:productY    vendor1:partno  "AAL132" .

**Vendor 2:**
vendor2:product1    dc:title    "Can Closer" .
vendor2:product2    dc:title    "Dust Unbuster" .

**Reviewer 1:**
vendor1:productX    dc:description  "This product is good buy!" .

**Reviewer 2:**
vendor2:product2  dc:description  "Who needs something to unbust dust? 
                                  A dust buster would be a better idea,
                                  and I wish they posted the price." .
vendor2:product2  review:rating   review:Excellent .

RDF SPARQL might be Great for this (from top down oversight perspective; not market participation with stores or little coffee cup mug sellers); e.g. we’re not Google we don't care; we want targeted vendors though; and know all products on market. then associate and do drop ship application property e-commerce venue spaced website deployments;

drop ship