The United States Patent and Trademark Office (USPTO) published the non-provisional patent application (NPPA #16/985,414) for the Configurable Ontology to Data-model Transformation (CODT).
Once granted the patent will:
Protect FIB-DM users
Patent laws extend protection to products manufactured using a patented process. Hence the OWL-to-DM patent protects users of FIB-DM.
Ensure updates of FIB-DM.
FIBO is growing with Collective Investment Vehicles (funds), Loans, Corporate Actions, and Market Data already in the development version. The FIB-DM extended data model adds new FIBO production packages quarterly. FIB-DM core updates annually. The patent ensures that the Financial Industry Business Data Model can be kept up to date.
Transformation process available
We originally created FIB-DM for mid-size Financial Institutions that don’t have RDF/Triple Stores and Ontologists inhouse yet. Global institutions who already have a customized FIBO don’t need a data model of the industry standard. They want their inhouse ontologies transformed into data models. With the published patent application, we can fully disclose the transformation process and license the transformation. Global FIs can synchronize RDF-Stores and RDBMS.
Comprehensive and progressive
With 45 pages including 23 drawings and 19 tables the non-provisional patent application fully discloses the invention. The 20 claims cover the method, system, non-transitory storage medium, and all embodiments.
Claims and major patent drawings
Abstract
A computer system, storage medium, and method are disclosed for transforming an ontology into a data model. A user may configure transformation rules and ontology to data model mapping.
In the first embodiment, the system comprises components for extraction from a source ontology, transformation into an entity-relationship model, load into particular data modeling tools. Other embodiments comprise an extended configuration, analytics, and user interface component.
The storage medium holds standardized metadata sets for source ontology, a generic entity-relationship model representation, and data modeling tool tool-specific metadata, with machine-readable instructions to self-populate.
The method may use SPARQL to extract ontology metadata, 4GL language to transform ontology into data model metadata sets, and import files or direct access to load metadata into the data modeling tool.
The system, storage medium, and method can operate in reverse, transforming a data model into an ontology.
Overview
System
| 1 | System |
| Configuration component | |
| Extraction component | |
| Transformation component | |
| 2 | Extraction with SPARQL |
| 3 | Extraction with parser |
| 4 | Load component |
| 5 | User Interface component |
| 6 | Analysis component |
Storage Medium
| 7 | Storage Medium |
| Configure transformation | |
| Ontotlogy Metadata Set | |
| Entity-Relationship Metdata Set | |
| Tool-specific Metadata Set | |
| 8 | extract from SPARQL endpoint. |
| 9 | parse ontology files |
| 10 | load into Data Modeling tool |
| 11 | configure transformation rules |
| 12 | analyze source ontology |
| 13 | reverse mode, transforming data model into ontolgy |
Method
| 14 | Method |
| configure | |
| extract from ontology | |
| transform into entity-relationshp | |
| transform to data model | |
| 15 | connect to ontology, retrieve metadata |
| 16 | parsing RDF/OWL files |
| 17 | connect to modeling tool, creating the model |
| 18 | review and overide rules and metadata |
| 19 | analyze source ontology |
| 20 | reverse engineer ontology from data model |
References
- CODT Patent filing, full text, drawings, and claims (USTPO PDF)
- Semantics for Extra Large Banks – the CODT Tutorial video
- CODT Version 1.0 – Atlantic, article