Company Filing History:
Years Active: 2007-2009
Title: Peng-Hsiang Hung: Innovator in Service Composition and Named-Entity Recognition
Introduction
Peng-Hsiang Hung is a notable inventor based in Kaohsiung, Taiwan. He has made significant contributions to the fields of service composition and named-entity recognition. With a total of 2 patents, his work showcases innovative approaches to complex technological challenges.
Latest Patents
One of his latest patents is titled "Method and system for automatic service composition." This invention discloses a method where a service registry stores multiple service specifications from various service providers. The registry receives service requests and utilizes a composition engine to automatically generate a series of actions based on the stored specifications. This process enhances the efficiency of service delivery by pre-processing requests and post-processing planning resolutions.
Another significant patent is the "Method for named-entity recognition and verification." This method involves extracting segments from an article and using predefined grammar to parse these segments. A statistical verification model calculates confidence measurements to determine the presence of named entities. Segments that do not meet the confidence threshold are rejected, ensuring high accuracy in entity recognition.
Career Highlights
Peng-Hsiang Hung is affiliated with the Industrial Technology Research Institute, where he continues to advance his research and development efforts. His work has been instrumental in pushing the boundaries of technology in his field.
Collaborations
He has collaborated with notable colleagues, including Yi-Chung Lin and Yi-Chia Chen, contributing to various projects that enhance the capabilities of their research initiatives.
Conclusion
Peng-Hsiang Hung's innovative patents and contributions to technology reflect his dedication to advancing the fields of service composition and named-entity recognition. His work continues to influence the industry and inspire future innovations.