Back to top

Introduction

  • Introduction
  • Text Segmentation
  • Visualization
  • Topic Retrieval
  • Project Outcome

    • Introduction

    The primary aim of this project is to develop a Lü Zu Quan Shu topic retrieval system that leverages the digital resources of the 呂祖全書 (the Canon of Lü Zu Revelations). This system will enable users to read the content of the texts, search by volume and ordinal numbers, or by keywords. Additionally, users will be able to retrieve text segments based on specific topics or descriptions.

    This project consists of three main components: text segmentation, visualization, and topic retrieval.

    Text Segmentation: This process enhances the readability of the text, improving the user experience and providing a foundation for further development.

    Visualization: This component visualizes the segmented text data based on their mathematical properties, which can represent semantic meanings to some extent. This offers users an alternative perspective for understanding the text.

    Topic Retrieval: The goal of this feature is to help users locate segments that are most relevant to their topics of interest.

    Our team members include Chiu Chi Chung (AIST/4), Ip Chun Shing (AIST/4) and Chan Yuk Chuen (AIST/4). Our team coaches are Dr. Wenyan CHEN, and Dr. Kwong Cheong WONG.