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CBETA Research Platform

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CBETA Research Platform

Feature: An integrated online research platform which based on the dataset of CBETA, related reference database and handy research tool.
Building on CBETA database, this whole new CBETA Research Platform is an integration of various references and handy research tools. This project is funded by the Ministry of Science and Technology (Taiwan) for Digital Humanities Projects with a mission to build a “Digital Research Environment”, which tailor to meet the technology needs of specific field of scholars according to their research interest. The ultimate goal is to aid in the effort of Chinese Buddhist text studies and research by building a digital research platform which integrates digital content, research interest and information technology.

About:

Building on CBETA database, this whole new CBETA Research Platform is an integration of various references and handy research tools. This project is funded by the Ministry of Science and Technology (Taiwan) for Digital Humanities Projects with a mission to build a “Digital Research Environment”, which tailor to meet the technology needs of specific field of scholars according to their research interest. The ultimate goal is to aid in the effort of Chinese Buddhist text studies and research by building a digital research platform which integrates digital content, research interest and information technology. There are three main functions in this platform, namely “Integrated Text Reader”, “Deep Search” and “Digital Textual Analysis”.

  • Integrated Text Reader: A multifunctional interface for text reading. Relevant references and databases are integrated into the platform, where one may get instant clarification and understanding while browsing through the text.
  • Deep Search: It is not an ordinary full-text search, but a set of robust tool which enable the visualization and comparison of the embedded differences laid within your search results. It is designed to get a glimpse on the pattern hidden behind the obtained dataset, from the user perspective.
  • Digital Textual Analysis: From the statistical analysis perspective, text analytical functions such as word clouds, word frequency, concordance analysis and context search.

Source Data:

  • Mainly based on CBETA canonical texts.

Functions:

  1. A HTML5-based CBETA Reader Platform (CBETA-RP).
  2. A feast of text selection method by category, book volume, catalogue, keywords, author/translator, and by the time of work.
  3. An integrated search function: full-text search, dictionary look-up, person & place search (Buddhist Studies Authority Database), lexicon research resources, related search for textual studies (NTU Digital Library & Museum of Buddhist Studies).
  4. Actualized and improved multiple functions of CBETA-RP, such as redesigned display of text, copy & cite function, a more complete catalogues dataset and integration of full text data.