TGame is a 2D platform game with a profound purpose: it serves to validate the mappings between Wordnet synsets and Wikipedia articles. As you explore this virtual world and solve puzzles, you contribute to the construction of the semantic web. The core idea revolves around examining how players' puzzle-solving abilities—relatively simple for humans—can validate the results generated by complex computer algorithms. This process brings us one step closer to creating a semantic web—a network of mappings between Wordnet synsets and Wikipedia articles.
游戏特色
TGame boasts an engaging and intuitive gameplay that is both challenging and rewarding. With its vibrant graphics and immersive soundscapes, it offers a unique experience that keeps players hooked. The game's design encourages critical thinking and problem-solving skills, making it an excellent educational tool as well as a fun pastime.
游戏亮点
Educational Gameplay: TGame is not just a game; it is an interactive learning experience that helps players understand the intricacies of the semantic web.
Puzzle Variety: The game features a diverse array of puzzles that test players' logic, spatial awareness, and memory skills.
Real-Time Data Analysis: As players progress, the game collects and analyzes data to provide insights into the effectiveness of the mappings between Wordnet synsets and Wikipedia articles.
Social Sharing: Players can share their achievements and compare their scores with friends and other players, fostering a sense of community.
游戏攻略
Start with the Basics: Familiarize yourself with the game mechanics and controls before diving into the more challenging levels.
Take Your Time: Puzzles may seem complex at first, but taking your time and analyzing the clues carefully can lead to successful solutions.
Utilize the Environment: Pay attention to the details in your surroundings as they may provide valuable clues.
Stay Curious: The journey through the semantic web is as important as reaching the end goal. Keep an open mind and enjoy the learning process.
For scientific purposes, the following data is gathered:
Registration Date
Last Login Date
Device Name
Level Stats: (Start Date, End Date, Score)
Answers: (Chosen Answer, Answer Time, Answer Date)
Game Start/End Date and Time
