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With the ever-growing generation of data for the Semantic Web comes anincreasing demand for this data to be made available to non-semantic Webexperts. One way of achieving this goal is to translate the languages of theSemantic Web into natural language. We present LD2NL, a framework forverbalizing the three key languages of the Semantic Web, i.e., RDF, OWL, andSPARQL. Our framework is based on a bottom-up approach to verbalization. Weevaluated LD2NL in an open survey with 86 persons. Our results suggest that ourframework can generate verbalizations that are close to natural languages andthat can be easily understood by non-experts. Therewith, it enables non-domainexperts to interpret Semantic Web data with more than 91\% of the accuracy ofdomain experts.

A Holistic Natural Language Generation Framework for the Semantic Web