Abstract
<p class="0abstract">In the past few decades, the use of ontologies in information systems has become popular in many fields, such as website development, database integration, and natural language processing. Because many kinds of coffee beans can be used in coffee shops, the prospective coffee house entrepreneur meets obstacles in terms of choosing the right coffee beans because of multiple unique characteristics. In order to help this cohort make decisions, our study proposed a simulation ontology-based matching for coffee bean selection by inserting three parameters—aroma, flavor, and sour level—as inputs on the website.<span> Arabica coffee bean is used as the principal object in this study and t</span>he outputs would be the beans matched with the parameters that had been inserted. In this study, t<span lang="IN">he </span>system model<span lang="IN"> gained from </span>the ontology method<span lang="IN"> is shown in </span>the implementation by using an example<span lang="IN">.</span></p><p class="0keywords"><strong>Key Words—</strong>Arabica coffee beans, Ontology, OWL, Protégé, SPARQL</p>
Highlights
Coffee is a type of beverage that is a daily need for people nowadays, and unconsciously it has become a trend or lifestyle for Indonesian people
The implementation of the ontology method is a system of selection types of coffee beans that have been made previously using the file OWL and a SPARQL query
This research was concluded using the ontology method, and the application was made as an output of this research
Summary
Coffee is a type of beverage that is a daily need for people nowadays, and unconsciously it has become a trend or lifestyle for Indonesian people. Indonesia itself has played a major role in coffee consumption. The country was ranked the third biggest coffee producer in the world after Brazil and Vietnam. In the early 2000s, the popularity of coffee in Indonesia rose unexpectedly because of American coffee chains such as Starbucks and The Coffee Bean & Tea Leaf opening their first branches there. Since 2013, many local coffee shops have been owned by Indonesian entrepreneurs. They are based on the tendencies and lifestyles of coffee drinkers
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