Data Management

Schema-Free Structured Querying of DBpedia DAT

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Executive Summary

The authors need better ways to query large linked data collections such as DBpedia. Using the SPARQL query language requires not only mastering its syntax but also understanding the RDF data model, large ontology vocabularies and URIs for denoting entities. Natural language interface systems address the problem, but are still subjects of research. They describe a compromise in which non-experts specify a graphical query "Skeleton" and annotate it with freely chosen words, phrases and entity names. The combination reduces ambiguity and allows the generation of an interpretation that can be translated into SPARQL.

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