Data Element Modeling Tool with Semantic Information
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Solution Overview
Problem
Existing modeling tools lack the ability to effectively model data elements that can be collaboratively and unambiguously understood, particularly in terms of semantic information, leading to inefficiencies and a lack of clarity in the modeling process.
Innovation Solution
A computer system with a repository of predefined data elements associated with semantic information, and a modeling tool that allows users to edit and modify these elements, providing options for creating new data elements, selecting data types, properties, and qualifiers, and presenting multiple physical representations, along with context category modifications and standard mappings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing modeling tools are used to model data elements, then the basic modeling functionality is provided, but the semantic information representation is insufficient and clarity is lacking
Solution Approach 1:
The patent segments the data element model into distinct components: semantic information (DEN, definition, intended use), structural information (data type, properties, qualifiers), and contextual information (context categories). This segmentation allows each component to be independently represented and managed, preventing loss of semantic information while keeping the tool complexity manageable through modular design.
Solution Approach 2:
The patent adds a semantic dimension to traditional data element modeling by introducing Dictionary Entry Names (DENs) and semantic definitions as a separate layer beyond the structural data type definitions. This additional dimension enriches the model with meaningful context without fundamentally complicating the underlying modeling mechanism.
2Reliability
If comprehensive semantic information is included in data elements, then clarity and understanding are improved, but the modeling process becomes more complex and time-consuming
Solution Approach 1:
The patent establishes predefined semantic frameworks and standard Dictionary Entry Names (DENs) in advance, which can be reused across multiple data elements. This preliminary action reduces the time required to model new data elements while ensuring consistent and reliable semantic representation, as users can select from pre-established semantic definitions rather than creating them from scratch each time.
Solution Approach 2:
The patent enables copying and reusing of semantic information templates and standard DENs across different data elements. Once a semantic definition is created or selected, it can be replicated and adapted for similar data elements, reducing repetitive modeling work while maintaining consistent semantic meaning across the model.
3Ease of operation
If detailed semantic information is presented, then the definition and intended use are clarified, but the interface complexity increases
Solution Approach 1:
The patent applies local quality by presenting different levels of semantic information detail in different interface areas: the semantic information area shows comprehensive definitions and intended use, while the physical representation area shows structured data elements. Users can focus on the relevant level of detail for their current task, improving ease of operation without overwhelming the entire interface with all possible information simultaneously.
Solution Approach 2:
The patent introduces an intermediary semantic information area that acts as a mediator between the user's natural language understanding and the structured data element definitions. This intermediary layer translates and presents semantic information in a comprehensible format, making detailed information accessible without directly exposing the full complexity of the underlying data model structure.
Data Source
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AI summary
A computer system includes a repository with predefined data elements for use in identifying information portions in electronic communications. Each data element is associated with semantic information indicating its definition and intended use. The system includes a modeling tool that, upon selection by a user, displays any of the predefined data elements and the semantic information for editing. A method includes receiving a first user input made under guidance of the modeling tool in a graphical user interface (GUI). The input selects one of several predefined data elements that are associated with semantic information indicating their definition and intended use. In response to the first user input, a representation of the selected predefined data element containing the semantic information is presented in the GUI. At least one aspect of the semantic information is modified based on a second user input made under guidance of the modeling tool.