ontology-mapperMap construction data to standard ontologies. Create semantic mappings between different data schemas
Install via ClawdBot CLI:
clawdbot install datadrivenconstruction/ontology-mapperGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://datadrivenconstruction.ioAudited Apr 16, 2026 · audit v1.0
Generated Mar 20, 2026
Architectural, engineering, and construction firms use the skill to map proprietary BIM data to IFC and COBie standards, ensuring interoperability across software platforms and compliance with project requirements. This facilitates data exchange between design teams, contractors, and facility managers.
Facility managers apply the skill to align maintenance records, asset inventories, and space data from legacy systems with Uniclass or OmniClass ontologies. This enables unified asset tracking, predictive maintenance, and compliance reporting across building portfolios.
Construction material suppliers and manufacturers use the skill to map product catalogs and specifications to MasterFormat or Uniformat classifications. This streamlines procurement processes, improves bid accuracy, and enhances data sharing with contractors and distributors.
Public agencies and regulatory bodies employ the skill to standardize construction project data from multiple sources into required ontologies like IFC or COBie for audits, sustainability reporting, and public infrastructure monitoring. This ensures data consistency and transparency in government projects.
Researchers and academics in construction science use the skill to map diverse datasets from studies or industry partners to standard ontologies, enabling comparative analysis, trend identification, and development of new semantic models for smart construction.
Offer the skill as a cloud-based service with tiered subscriptions based on mapping volume, ontology support, and API access. Revenue is generated through monthly or annual fees from AEC firms, facility managers, and government clients needing scalable data standardization.
Provide custom implementation, training, and support services to help organizations integrate the skill into their existing workflows. Revenue comes from project-based fees for data mapping, system integration, and ongoing maintenance tailored to client-specific needs.
Sell perpetual or annual licenses for on-premise deployment to large enterprises like construction conglomerates or government agencies. Revenue includes upfront license fees plus optional support and upgrade packages, ensuring control over sensitive data.
💬 Integration Tip
Ensure Python 3 is installed and accessible in the system PATH; use the provided dataclasses to structure input data before mapping to ontologies like IFC or COBie for best results.
Scored Apr 19, 2026
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