Semantic Graph Validation for Heterogeneous API Metadata
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Solution Overview
Problem
Existing tools for validating REST APIs are often syntax-specific and require different validation rules for different types of endpoints, making the process time-consuming and prone to errors for complex APIs.
Innovation Solution
A system for semantic metadata validation that parses metadata objects into a unified semantic graph data model, allowing for syntax-independent validation using a validation ruleset applied across various metadata formats, including the use of semantic parsers, validation engines, and semantic validators to generate reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If syntax-specific validation tools are used for different endpoint types, then validation coverage is achieved, but validation time and complexity increase significantly
Solution Approach 1:
The patent creates a universal validation framework that handles multiple metadata formats (OpenAPI, RAML, WADL, GraphQL) through a single unified validation engine. The system translates various syntax-specific metadata into a common intermediate representation, allowing one validation ruleset to validate all endpoint types without requiring separate tools for each syntax, thereby reducing validation time while maintaining comprehensive coverage
Solution Approach 2:
The patent introduces an intermediate representation layer that acts as a mediator between syntax-specific metadata formats and the validation engine. This intermediate format normalizes different metadata structures into a unified schema, enabling the validation system to process diverse endpoint types through a single validation pathway without being constrained by syntax-specific tool limitations
2Manufacturing precision
If syntax-specific validation rules are created for each endpoint type, then accurate validation is achieved, but the number of rules and device complexity increase
Solution Approach 1:
The patent implements a universal validation ruleset that applies to all endpoint types through the unified intermediate representation. Instead of maintaining separate rules for REST, GraphQL, and other syntaxes, the system uses a single ruleset that operates on the normalized intermediate format, significantly reducing ruleset complexity while preserving validation accuracy across all endpoint types
Solution Approach 2:
The patent enforces homogeneity by translating heterogeneous metadata formats into a uniform intermediate representation with consistent structure and semantics. This homogeneous intermediate format allows the validation engine to apply uniform validation logic across all endpoint types, eliminating the need for syntax-specific rule variations and reducing overall system complexity
3Reliability
If multiple validation tools are used for different metadata formats, then comprehensive validation is achieved, but ease of operation decreases
Solution Approach 1:
The patent provides a single validation tool that universally handles multiple metadata formats (OpenAPI, RAML, WADL, GraphQL) through automatic translation to intermediate representation. Users interact with one unified interface regardless of the input format, eliminating the need to switch between multiple specialized tools and significantly improving ease of operation while maintaining comprehensive validation coverage
Data Source
AI summary
Metadata objects describing a resource may be generated by multiple processes in the IT system and be of different metadata formats. These metadata objects may be parsed into a unified semantic graph over which validation rules may be applied. The semantic graph and a validation ruleset comprising one or more validation rules may be input into a validation engine. The validation engine may interpret the validation into logical assertions then apply them over the semantic graph. The validation engine may then generate a validation report indicating whether the graph is conformant. The validation report may include information about any validation failures that may have occurred and may be displayed to a user on a client device via a graphical user interface.