Domain vocabulary
Define entities, attributes, and categories with subject experts so results match how users describe the field.
Domain search
DSearch combines source selection, extraction, domain vocabulary, and indexing for a specific subject area. The resulting search concept is designed around what qualifies as a useful record in that domain, with feasibility established from sample sources.

01 / Scope
Define entities, attributes, and categories with subject experts so results match how users describe the field.
Assess each permitted source and map its records into a shared schema with traceable provenance.
Use domain fields for search, filters, and comparisons where the underlying data supports them.
02 / Method
Agree on audiences, questions, source rights, and a small set of representative records.
Sample extraction and classification, then review gaps and errors with stakeholders.
Design the index, result views, update workflow, and quality checks for a scoped build.
03 / Outputs
Specific scope, compatibility, schedule, and commercial terms are confirmed in a project agreement.
04 / Questions
We assess source access, data consistency, and useful query patterns before committing to a build.
Update frequency depends on source terms, access, and the agreed pipeline.
Each domain needs its own source, schema, and relevance design; contact us to scope the implementation.
Your next useful answer
We’ll connect your information requirements to the right Nakkeb product, service, or implementation scope.