Implied Property Chains in Semantic Models
Solution Overview
Problem
Semantic modeling languages are constrained by requiring complete specification of properties and property chains, making natural language expressions seem rigid and formal, and lacking the ability to efficiently generate natural expressions.
Innovation Solution
The introduction of implied properties in semantic models, which allows for the addition of implicit information to classes and instances, enabling more natural language-like expressions by specifying and adding implied properties to the semantic model, and using these properties in validation and translation processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If complete specification of properties and property chains is required in semantic models, then accuracy and clarity are maintained, but natural language expressions become rigid and overly formal
Solution Approach 1:
The patent applies partial action by allowing the system to work with incomplete property specifications. Instead of requiring all properties to be explicitly defined, the system processes expressions with partial property information and only retrieves properties that are actually needed for validation and translation, thereby maintaining accuracy where necessary while enabling natural language flexibility
Solution Approach 2:
The system implements self-service by automatically determining which properties are needed based on the expression being processed. The semantic model autonomously identifies and retrieves relevant properties from the knowledge base without requiring explicit user specification of all properties, balancing completeness with natural language conciseness
2Measurement precision
If complete specification of properties is required, then validation accuracy is improved, but expression length and complexity increase
Solution Approach 1:
The system uses partial action by retrieving only the subset of properties necessary for validation rather than all possible properties. This selective property retrieval maintains validation accuracy for required properties while avoiding the inclusion of unnecessary information that would increase expression complexity
Solution Approach 2:
The patent extracts only the relevant properties needed for a given validation task from the complete semantic model. By separating and retrieving only the necessary properties rather than requiring all properties to be specified in every expression, the system maintains validation precision while preserving expression conciseness
Data Source
AI summary
A system and a method including accessing a semantic model having a grammar syntax supporting an expression including a combination of at least one of a semantic model class and an instance of a semantic model class; specifying at least one missing property specification for at least one of a semantic model class and an instance of a semantic model class, including constraints for a use of the at least one missing property; adding the at least one missing property specification to the semantic model, the at least one missing property specification added to the semantic model to be referenced in a validation and translation of an expression including a combination of at least one of the class and the instance of a class having one of the at least one missing property specified therewith; and generating a record of the semantic model including the at least one missing property specification added thereto.