02 Integration and Semantic Mapping
Work in progress - current draft from working group - “CDIF Data Integration” - integration (Google Doc)
Group 02 Google Drive folder
Outline of this topic
Data integration has several aspects:
Combination of data at a structural level
Equating similar semantics related to the data
The roles played by concepts are the point of contact
Structural manipulation of data can be automated to a great extent. Mapping of semantics – even when informed by knowledge of the roles played by the relevant concepts – much less so.
What is the metadata needed to support these functions?
What is possible or desirable in terms of automation and support for non-automated activities?
What standards should be used? How does OWL fit into the picture?
Status:
Existing draft on structural aspects,
Initial exploration of SSSOM for semantic mapping
Suggested deliverables
Definition of the metadata needed for describing data or resopurces being exposed for cross-domain use
Structural metadata
Controlled vocabularies/semantics used
Structural metadata should be based on what exists in the originator’s systems
It should be encoded/modelled in a standard way
We are not describing the process of integration
Semantic mappings should be exposed as a resource to support integration for standard CVs/semantic schemes
Standard expression(s)/model(s) – e.g., SKOS, OWL and SSSOM
Standard encoding(s) – e.g., JSON-LD