I. Problem/Value Statement

Problem Statement:

Harvard Yenching Library has performed optical character recognition (OCR) on a large corpus of ancient Chinese texts in its collection, and now would like deposit that text to the DRS, associate it with existing PDS objects and have the OCR be searchable. The CJK OCR should be searchable in FTS and deliverable in PDS.  Additionally, a large collection of modern Chinese Documents on Contemporary Chinese Politics has been purchased and digitized by the Harvard-Yenching Institute. The collection, including CJK OCR has been loaded to the DRS but is not currently searchable in FTS because FTS doesn't support CJK search.

In order to accommodate these two existing collections and future collections with CJK OCR, an ability to add OCR to existing DRS objects needs to be developed and FTS needs to be upgraded to enable CJK search and delivery of the results to PDS.

Business Value:

Updating FTS to enable CJK search will make it possible for researchers to ask exploratory questions of the data and get quick on-the-fly responses.  Full-text search means that these questions can be answered immediately, and so will be practical to investigate in many cases in which examining every page of a scanned text by hand to find out the answer would not be an option worth contemplating. Updating DRS to allow adding OCR to existing PDS objects will allow the OCR for ancient Chinese texts and OCR for many similar projects to enrich existing PDS documents in DRS with OCR as OCR technology for non-Latin languages matures and gets better. This will in turn dramatically increase the use of DRS collections as more researchers will be able to ask new questions about the data.

II. Vision and Approach

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III. Stakeholders/People

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IV. Schedule and Cost

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