Yi-Chi Chen

Title: Yi-Chi Chen: Innovator in Data Tagging and Learning Objects

Introduction

Yi-Chi Chen is a prominent inventor based in Taipei County, Taiwan. He has made significant contributions to the fields of data tagging and educational technology. With a total of 2 patents, his work focuses on enhancing the way users interact with data and learning materials.

Latest Patents

Yi-Chi Chen's latest patents include a "Method and system for constructing data tag based on a concept relation network." This innovative system involves a tagging module that collects input tags from users to create a tag table. It calculates the count of each tag used and compares it with a predefined threshold value to generate two tag count tables. The system also calculates relations between each tag and others, applying an incremental concept to maintain tags in the concept relation network.

Another notable patent is the "System and method for generating 'snapshot's of learning objects." This system provides an interface that receives a target object and a user identification number. The target object corresponds to a category that includes a plurality of sentences and multimedia data. The system selects sentences and multimedia data based on the user's historical learning record, generating a 'snapshot' that combines the selected elements for display.

Career Highlights

Yi-Chi Chen is affiliated with the Institute for Information Industry, where he continues to develop innovative solutions in information technology. His work has been instrumental in advancing the understanding and application of data tagging and learning object generation.

Collaborations

Throughout his career, Yi-Chi Chen has collaborated with notable colleagues, including Wei-Shen Lai and Cuo-Yen Lin. These partnerships have contributed to the success of his projects and the advancement of technology in their respective fields.

Conclusion

Yi-Chi Chen's contributions to data tagging and educational technology highlight his role as an influential inventor. His innovative patents reflect a commitment to improving user interaction with data and learning materials.