Ownership respected
PMMT data remains with UP SLIS, and Desiderata Solutions does not claim ownership of the data.
Featured Project · Multilingual Knowledge Organization
PMMT
Philippine Multilingual Medical Thesaurus
PMMT is a multilingual medical terminology resource whose data remains the property of the University of the Philippines School of Library and Information Studies (UP SLIS). Desiderata Solutions is supporting preservation and modernization work around the resource while keeping institutional ownership and professional context clear.
Data ownership: PMMT data remains the property of UP SLIS. Desiderata Solutions does not claim ownership of the data.
PMMTInstitutional stewardship
Multilingual terminologyA knowledge resource shaped around terminology across languages.
Knowledge organizationModernization should preserve expert structure and professional use.
Responsible innovationNew technology is explored as support for expert work, not as a replacement for it.
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Project Focus
Preserving a valuable knowledge resource while preparing it for responsible modernization.
The PMMT initiative sits at the intersection of library and information science, terminology, and digital systems. Desiderata Solutions is approaching the work with preservation and stewardship first: respect the existing resource, keep ownership clear, and modernize where technology can strengthen professional use.
The project is being developed with institutional context and expert knowledge organization in mind, rather than treating terminology as a purely technical data problem.
Expert-led
Terminology and knowledge organization work should remain grounded in professional review and institutional context.
Modernization with purpose
Technology is considered where it can strengthen professional use, maintainability, and access.
Ownership: The PMMT data remains the property of the University of the Philippines School of Library and Information Studies (UP SLIS).
AI & Innovation
Building toward AI-assisted knowledge systems.
Desiderata Solutions is exploring how artificial intelligence can support the next generation of knowledge organization tools. Work around PMMT provides an opportunity to study how AI-assisted methods could help with multilingual terminology discovery, semantic relationships, search, and expert review.
The goal is not to replace professional judgment, but to develop tools that can help specialists work with complex information more effectively and responsibly.
Together with projects such as RICA, this work is helping Desiderata Solutions build practical experience at the intersection of artificial intelligence, metadata, terminology, and knowledge organization.
Any future AI capability involving PMMT would remain subject to appropriate institutional oversight. PMMT data remains the property of UP SLIS.
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