The information flow connects source documents with structured knowledge and search results while preserving the route back to the original evidence.
01
Sources
Documents and corpora
→
02
Extract
Entities, topics and metadata
→
03
Organise
Index and relationships
→
04
Retrieve
Queries and ranking
→
05
Use
Relevant, cited information
Figure: From documents to traceable answers
Documents first receive stable identifiers and metadata. Extraction methods identify useful entities, topics and relationships, which are organised for search. Representative user questions guide retrieval and ranking tests. Every result retains a link to its source so readers can verify context rather than relying on an isolated answer.
Who this is for
Organisations facing document overload and researchers building retrieval or named-entity-recognition systems.
The problem we help solve
Important information is difficult to locate, inconsistently described or disconnected from its source context.
How KCS approaches the work
Work progresses through four connected stages, from clarifying the need to producing a result that can be reviewed and used.
Identify information needs and representative queries.
Model documents, entities, metadata and relationships.
Select extraction, indexing, retrieval and ranking methods.
Evaluate relevance, accuracy, coverage and user usefulness.
Concrete examples
Extracting medical concepts from guidelines while preserving links to the original passages.
Helping a research group search multilingual corpora by entity, topic and metadata.
What you can receive
Information model
Search or extraction prototype
Evaluation results
Traceable knowledge workflow
ENGAGE WITH KCS
Could this expertise help your organisation?
Tell KCS about the situation, the people affected and the result you need. We will determine whether this expertise fits and recommend a sensible first step.
Your enquiry will reference: Information Extraction and Retrieval.
