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97            <div class="mt-4 mb-5 mx-auto w-75"><h1 class="text-center"><br>Ontology</h1><br></div>
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100                <!-- <h2 class="my-3">Movie Ontology</a></h2> -->
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108                                    <h3 class="fw-bolder">Movie Ontology</h3>
109                                    <table>
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113                                                <img class="card-img-top" src="img/movieGenreToyOntology.png" style="width:100%" alt="..." />
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118                                                <p><b>Movie ontology</b> is described as a movie-genre class hierarchy in which a genre class has a “SubClassOf” or “Is-A” relation 
119                                                with a movie’s title individual. The <a href="https://grouplens.org/datasets/movielens/100k/" target="_blank">MovieLens 100K</a> Ontology OWL  
120                                                is generated using <a href="https://protege.stanford.edu" target="_blank">Protégé</a> software version 5.5.</p>. 
121                                                <p><b>Citation:</b><br> Ifada, N., Cahyaningrum, E. W., and Rachman, F. H., "The Implementation of Hybrid Semantic Ontology-based Model 
122                                                    on Movie Recommendation System," in Proceedings of <i>The 2022 International Conference on Computer Engineering, Network, and Intelligent 
123                                                    Multimedia (CENIM)</i>, page 1-7, IEEE, Surabaya (Online), 2022. DOI: <a href="https://doi.org/10.1109/CENIM56801.2022.10037277">https://doi.org/10.1109/CENIM56801.2022.10037277</a></p>        
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