Building a better way to investigate cultural knowledge.
SARVAH began from a simple observation: information about cultural objects is often not absent
— it is fragmented, disconnected and difficult to interpret as a whole.
WHY SARVAH EXISTS
A work of art, an archive reference, a family photograph or a name can carry traces across institutions, catalogues, private records, publications and memory. Each source may be useful. None necessarily contains the whole story.
SARVAH is being built to make those fragments investigable together: to structure evidence, reveal relationships, keep contradictions and uncertainty visible, and help researchers understand what becomes worth asking next.
OUR VIEW OF KNOWLEDGE
Identity is relational
Objects, people and events acquire meaning through the relationships that connect them.
Evidence comes first
Claims should remain connected to sources, context and traceability.
Uncertainty is productive
Insufficient evidence is not a system failure. It can define the next research question.
Human expertise remains central
SARVAH is designed to augment judgement, not replace it.
Knowledge should interoperate
Museums, archives, researchers and public infrastructures should not have to surrender their systems for SARVAH to create connections across them
Knowledge can compound
Validated, permissioned findings can improve future investigations while respecting confidentiality, rights and provenance.
WHAT WE ARE BUILDING
SARVAH combines cultural-heritage research, semantic technologies, knowledge representation, data engineering and artificial intelligence to create investigation infrastructure that can work across distributed evidence. Qest is the experience through which users interact with that infrastructure.
AN OPEN RESEARCH DIRECTION
The system is being developed iteratively through real cases and expert review. The aim is not to claim a universal answer in advance, but to build an infrastructure that can remain explicit about evidence, uncertainty and the limits of what is known.