Predicting Metacritic Film Reviews Using Linked Open Data and Semantic Technologies

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Provided by: RWTH Aachen University
Topic: Data Management
Format: PDF
Using linked open data, the authors are finally able to test and quantify Aristotle's theory. By using the flexible data representation of RDF (Resource Description Framework) as well as the graph-oriented nature of SPARQL, they attempt to answer the questions: What makes a movie good? And more specifically, what makes a critic think that a movie is good? They take a novel approach to predictive analytics that is implemented entirely in SPARQL rather than using more traditional statistical machine learning platforms (e.g. Rapidminer, etc.).
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