Takin.solutions
Preparing raw source data for semantic transformation by identifying and resolving inconsistencies, duplicates, missing values, and structural irregularities, ensuring datasets…
Building custom tools, scripts, and applications that support semantic data workflows, from automated mapping generators and data validation utilities to…
Executing the actual conversion of source data into semantic formats (i.e. RDF) based on defined mappings — the runtime counterpart…
Designing, extending, or customizing formal ontologies and their extensions to accurately represent a domain's knowledge requirements, including class hierarchies, properties,…
Deploying and configuring semantic platforms (e.g., Arches, ResearchSpace, custom SPARQL endpoints) tailored to an organization's data management and discovery needs.
Hands-on workshops and courses teaching teams to understand, use, and maintain semantic technologies, ontologies, and platforms independently.
Overseeing the full Extract-Transform-Load pipeline, including scheduling, quality assurance, error handling, and ongoing maintenance of semantic data ingestion workflows.
Advisory services helping organizations develop strategies for structuring, integrating, and managing their data using semantic technologies and ontological frameworks like…
Moving data from legacy systems, spreadsheets, or proprietary formats into semantically enriched, standards-compliant knowledge bases while preserving meaning and relationships.
Designing formal, ontology-driven data models grounded in standards such as CIDOC-CRM and its extensions, capturing the essential entities, relationships, and…
Creating comprehensive technical and methodological documentation that records semantic decisions, mapping rationale, ontology usage, and data transformation logic for reproducibility…
Defining explicit correspondences between source data fields and target ontology classes/properties (e.g., building X3ML mapping files that align collection records…
