Semantic Web: What are example of SPARQL queries that are too cumbersome to be executed in SQL?
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currently there are tools or libraries that can translate SPARQL queries into SQL queries so that relational backend can be linked via SPARQL endpoint without migrating the database backend. Is there some example case studies that can show how a query is not as efficient (or too cumbersome) as if it's implemented using triple store database engines?
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Answer:
The question of the Semantic Web and related technologies is not about what the query language can or cannot do but about how the structure of the data fits into a well canvassed - pre-configured - table structure as opposed to a more loosely defined, evolving graph structure. See this article for a short but better structured summary: http://www.cbsolution.net/ontarget/databases_relational_vs_object_vs
Walter Wartenweiler at Quora Visit the source
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