Web application to make user-friendly requests on large XML database.
Tools to XML-ize large bodies of semi-formal texts (like floras).
Computer-assisted specimen identification.
Uses natural language processing, 2D/3D images analysis and generation.

Project Activity

See All Activity >

License

GNU Library or Lesser General Public License version 2.0 (LGPLv2)

Follow Worldwide Botanical Knowledge Base

Worldwide Botanical Knowledge Base Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

Build gen AI apps with an all-in-one modern database: MongoDB Atlas

MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Start Free
Rate This Project
Login To Rate This Project

User Ratings

★★★★★
★★★★
★★★
★★
1
0
0
0
0
ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5
support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 0 / 5

User Reviews

  • Wwbota works good.
    1 user found this review helpful.
Read more reviews >

Additional Project Details

Operating Systems

BSD, Linux

Languages

English, French

Intended Audience

Developers, Education, Science/Research

User Interface

Web-based

Programming Language

C++, Java

Related Categories

C++ Front-Ends, C++ Bio-Informatics Software, C++ Natural Language Processing (NLP) Tool, Java Front-Ends, Java Bio-Informatics Software, Java Natural Language Processing (NLP) Tool

Registered

2003-01-11