The domain of educational games has integrated modern technologies to develop captivating and efficient learning experiences. One of the challenges in this area is the lack of explainability which makes it less player-friendly. This study outlines a novel approach to enhance educational games through the integration of Optical Character Recognition (OCR) technology with DBpedia semantic knowledge repository. These kinds of games benefit from this integration since they provide relevant comprehensible information about the identified primary words. The system receives real-time semantic data from DBpedia via an API improving the player’s learning experience. The importance of SPARQL as a query language in DBpedia is also examined along with comparisons to other structured knowledge bases like BabelNet. Additionally, various educational games that incorporate structured knowledge frameworks are evaluated.The paper also looks at the role of learner attitudes and educational backgrounds in serious games. To solve the limits of OCR, the system includes a fallback mechanism that ensures dependability and accuracy. According to the results, 90% of the provided dataset was successfully explained by the suggested method.

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Integrating OCR and DBpedia for Enhanced Gameplay in the Educational Game

  • Anar Mammadli

摘要

The domain of educational games has integrated modern technologies to develop captivating and efficient learning experiences. One of the challenges in this area is the lack of explainability which makes it less player-friendly. This study outlines a novel approach to enhance educational games through the integration of Optical Character Recognition (OCR) technology with DBpedia semantic knowledge repository. These kinds of games benefit from this integration since they provide relevant comprehensible information about the identified primary words. The system receives real-time semantic data from DBpedia via an API improving the player’s learning experience. The importance of SPARQL as a query language in DBpedia is also examined along with comparisons to other structured knowledge bases like BabelNet. Additionally, various educational games that incorporate structured knowledge frameworks are evaluated.The paper also looks at the role of learner attitudes and educational backgrounds in serious games. To solve the limits of OCR, the system includes a fallback mechanism that ensures dependability and accuracy. According to the results, 90% of the provided dataset was successfully explained by the suggested method.