Old project page: FTS CJK Search (old project page)
Note: see Glossary at the bottom for definitions of technical terms and acronyms.
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 Digital Repository Service (DRS), associate it with existing Page Delivery Service (PDS) objects and have the OCR be searchable. 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 Full Text Search (FTS) because FTS doesn't support CJK search. The CJK OCR should be searchable in FTS and deliverable in PDS.
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.
II. Vision and Approach
Describe the solution:
The solution will consist of an upgraded FTS search index using Solr which will be additionally tuned to support the CJK requirements. The upgraded index will use the DRS indexing functions to support the updating and full text indexing of documents in the FTS search index. As part of this solution existing documents will need to be reindexed to support updated features within the Solr environment.The updated FTS search servlet will submit a search and return the results of a search submitted through PDS/Mirador or through an FTS form, in keeping with the current FTS functionality. The PDS Mirador will display the resulting search and the relevant PDS document pages, in keeping with the current FTS functionality. The API used for these functions will be kept as consistent as possible.
DRS will be enhanced to allow batch loading of OCR files and linking them with existing DRS PDS documents. The newly updated documents will be automatically submitted for FTS indexing.
Deliverables/Work Products:
Upgraded FTS that supports CJK search.
An enhancement to the DRS to support batch loading OCR files and linking them with existing DRS PDS documents.
These are the individual deliverables that will be part of this project:
- Upgrade of the indexing engine
- Develop the DRS OCR batch import function
- Upgrade of the index / ingest process
- Update of the search APIs
- Update of PDS/Mirador to support new search solution
- Tuning of search index for CJK materials
The deliverables may represent sub-projects which may represent different interested parties and different sub-teams.
Define how to measure “done”:
The overall project is considered done once the DRS CJK PDS documents can be indexed and searched in FTS, the results of the searches can be viewed in PDS/Mirador and FTS, and the collection of OCR for existing DRS CJK PDS Documents is successfully ingested into the DRS and is available for searching in FTS and display of results in PDS/Mirador and FTS.
This project will iterate in phases. For each phase a separate definition of "done" will be defined in the project plan.
In Scope:
Support for CJK indexing and search in FTS, delivery of results to PDS/Mirador.
Enhancement to support bulk-adding CJK OCR to existing PDS objects in the DRS
Out of Scope (for medium and large projects):
Support for indexing and search in FTS for other languages; support for bulk-adding any other metadata or content to the DRS; any UI changes or enhancements to current FTS or PDS/Mirador
III. Stakeholders/People
Who is the work being done for? (Sponsor)
Suzanne Wones, Associate University Librarian for Digital Strategies and Innovation
What organizations, departments, or people will benefit from this work (for medium and large projects)
Harvard Yenching Librar y ,Harvard Yenching Institute, faculty and researchers will benefit from this work
Who is funding the work?
Harvard Library is funding this work
Who will accept the work?
Suzanne Wones, Associate University Librarian for Digital Strategies and Innovation (or her designee) a stakeholder (TBD) from Harvard Yenching Library, and Elizabeth Perry, Director of the Harvard-Yenching Institute (or her designee) will accept this work
Who is the project manager?
Vitaly Zakuta is the project manager for this project
Who will be involved in doing the work (service area, department, etc …)? [Include name, project role, and estimated percentage of time per month for the project duration]
Resource Name | Role(s) | Monthly Time Estimate | Monthly Time Estimate |
---|---|---|---|
Vitaly Zakuta | PM / Support / QA | % | % |
TBD - Solr | Developer | 90 % | % |
Chris Vicary - DRS | Developer | 10 % | % |
Anthony Moulen | Technical Architect | % |
IV. Schedule and Cost
Schedule: [include project phases, known reporting dates, and delivery deadlines]
Cost:
Cost Breakdown (for large projects):
Cost Type | Estimated Cost |
---|---|
Hardware | |
Licensing | |
Contract Labor | $112,000.00 |
[add and remove rows as needed] |
V. Other
Constraints:
Assumptions:
Dependencies:
Risks (description, plan, impact, owner):
Glossary
CJK – Chinese, Japanese, Korean
DRS – Digital Repository Service
FTS - Full Text Search
Mirador – Software used by LTS for delivery and presentation of Page Turned Objects
OCR – Optical Character Recognition
PDS – Page Delivery Service
Solr – Indexing engine technology used by LTS