Persistent Identifier Architecture for Scientific Name Disambiguation
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Solution Overview
Problem
The current biological nomenclature system lacks uniqueness and persistence, leading to ambiguity and misinterpretation of scientific names, which can result in significant consequences in legal, regulatory, and scientific contexts due to the accumulation of dubious names in literature and databases.
Innovation Solution
The implementation of an information architecture using persistent, unique identifiers such as Digital Object Identifiers (DOIs) to disambiguate scientific names and classification labels, allowing for the creation of unique and addressable information objects that can be accessed in a networked environment, thereby resolving the ambiguity between names and entities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional biological nomenclature systems are used, then names can be assigned to taxa following Codes of Nomenclature, but the names lack uniqueness and persistence leading to ambiguity and misinterpretation
Solution Approach 1:
The patent introduces an intermediary information architecture layer between the traditional nomenclature system and the actual taxa. This layer includes information objects that contain disambiguation data, contextual information, and links to authoritative sources. The intermediary resolves ambiguity by providing additional context and multiple possible interpretations rather than relying on a single ambiguous name
Solution Approach 2:
The patent adds a new dimension to the traditional name-taxa relationship by introducing structured information objects with multiple attributes and relationships. Instead of a simple one-to-one mapping, the system creates a multi-dimensional information structure that includes synonyms, orthographic variants, contextual metadata, and links to authoritative taxonomic sources, allowing disambiguation through multiple access points
2Adaptability or versatility
If multiple synonyms and orthographic variants are allowed for biological names, then taxonomic flexibility is maintained, but reliability of information retrieval deteriorates due to inability to retrieve all related information in a single query
Solution Approach 1:
The patent merges all synonyms, orthographic variants, and related names into a single unified information object structure. This consolidated object contains references to all variant forms and provides a single access point that retrieves complete information about a taxon regardless of which name variant is queried, ensuring retrieval completeness while maintaining taxonomic flexibility
3Measurement precision
If taxonomic classifications are updated to reflect new scientific opinions, then taxonomic accuracy improves, but persistence of name references deteriorates as names may no longer be applicable
Solution Approach 1:
The patent prepares information objects in advance with structured data about name variants, synonyms, and historical taxonomic classifications. By pre-organizing this information with multiple access points and contextual metadata, the system can accommodate future taxonomic updates while maintaining persistent access to historical and current classifications through the same information object infrastructure
Solution Approach 2:
The patent creates a dynamic information architecture where information objects can be updated to reflect new taxonomic opinions while maintaining links to historical classifications. The system allows taxonomic accuracy to evolve over time while preserving persistent access to name references through a flexible structure that can accommodate both current and historical taxonomic views
4Measurement precision
If expert taxonomic knowledge is required to resolve name ambiguity, then accuracy of name interpretation improves, but ease of operation deteriorates as few others have the requisite skills
Solution Approach 1:
The patent implements self-service mechanisms where the information architecture automatically provides disambiguation through structured data, contextual metadata, and algorithmic resolution of name variants. The system encodes taxonomic knowledge in machine-readable formats that enable automated resolution of name ambiguity without requiring expert human intervention, making the system accessible to non-experts while maintaining accuracy
Data Source
AI summary
The present invention provides systems and methods that utilize an information architecture for disambiguating scientific names and other classification labels and the entities to which those names are applied, as well as a means of accessing data on those entities in a networked environment using persistent, unique identifiers.