Data Object Model Segmentation for Interoperability
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Solution Overview
Problem
Current data object models are inflexible and lack interoperability, failing to accommodate business process-specific requirements and leading to inefficient data exchange between organizations and systems.
Innovation Solution
An object model that combines standardized properties with non-standardized extensions, allowing for the mapping of proprietary data onto standardized properties and the use of additional attributes to enhance interoperability and flexibility in data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If standardized object models are used to describe data objects, then interoperability between different systems is improved, but flexibility to accommodate business process-specific requirements deteriorates
Solution Approach 1:
The data model is segmented into standardized properties (for interoperability) and proprietary extensions (for business-specific requirements). This allows the system to separate concerns between standard compliance and custom functionality, enabling both interoperability and flexibility simultaneously.
Solution Approach 2:
The patent merges standardized object models with proprietary extensions into a unified data structure. The extended data objects combine standard properties with custom attributes, allowing systems to exchange standardized data while preserving organization-specific information needs.
2Adaptability or versatility
If proprietary properties are used to describe business processes, then flexibility to meet specific requirements is improved, but interoperability between different organizations deteriorates
Solution Approach 1:
Standardized properties act as an intermediary layer between different proprietary systems. Data is mapped from proprietary formats through standardized properties, enabling interoperability while preserving the ability to represent organization-specific data characteristics through the extension mechanism.
3Productivity
If standardized data models are used, then data exchange efficiency is improved, but ability to represent organization-specific data deteriorates
Solution Approach 1:
The extended data object model serves multiple functions: it maintains standardized properties for efficient universal data exchange while simultaneously supporting proprietary extensions for organization-specific requirements. This multi-functionality allows a single data structure to serve both standardization and customization needs.
Data Source
AI summary
The present invention relates to a data object model and methods and systems for mapping standardized data onto standardized properties of the object model and non-standardized data onto extensions. A reference referring to a data source may be mapped onto the extensions and the reference may be used to determine property data from the data source.


